diff --git a/projects/multiai/Classifiers.py b/projects/multiai/Classifiers.py
new file mode 100644
index 00000000..84a8fb81
--- /dev/null
+++ b/projects/multiai/Classifiers.py
@@ -0,0 +1,261 @@
+import pandas as pd
+
+import matplotlib.pyplot as plt
+
+# from pandas.tools.plotting import scatter_matrix
+
+from pandas.plotting import scatter_matrix
+
+from matplotlib import cm
+
+from sklearn.model_selection import train_test_split
+
+from sklearn.linear_model import LogisticRegression
+
+from sklearn.preprocessing import MinMaxScaler
+
+from sklearn.tree import DecisionTreeClassifier
+
+from sklearn.neighbors import KNeighborsClassifier
+
+from sklearn.linear_model import Lasso
+
+from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
+
+from sklearn.naive_bayes import GaussianNB
+
+from sklearn.svm import SVC
+
+
+
+
+
+
+# Read the table from .txt file
+
+
+
+fruits = pd.read_table('fruit_data_with_colors.txt')
+
+fruits.head()
+
+
+
+# Prepare data for classification
+
+
+
+feature_names = ['mass', 'width', 'height', 'color_score']
+
+X = fruits[feature_names]
+
+y = fruits['fruit_label']
+
+
+
+X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)
+
+
+
+scaler = MinMaxScaler()
+
+X_train = scaler.fit_transform(X_train)
+
+X_test = scaler.transform(X_test)
+
+
+
+# Classifier: logistic regression
+
+
+
+logreg = LogisticRegression()
+
+logreg.fit(X_train, y_train)
+
+print('Accuracy of Logistic regression classifier on training set: {:.2f}'
+
+     .format(logreg.score(X_train, y_train)))
+
+print('Accuracy of Logistic regression classifier on test set: {:.2f}'
+
+     .format(logreg.score(X_test, y_test)))
+
+print(logreg.predict_proba([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+print(logreg.predict([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+
+
+
+
+
+
+# Classifier: Decission tree
+
+
+
+
+
+clf = DecisionTreeClassifier().fit(X_train, y_train)
+
+print('Accuracy of Decision Tree classifier on training set: {:.2f}'
+
+     .format(clf.score(X_train, y_train)))
+
+print('Accuracy of Decision Tree classifier on test set: {:.2f}'
+
+     .format(clf.score(X_test, y_test)))
+
+
+
+print(clf.predict_proba([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+print(clf.predict([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+
+
+
+
+# Classifier: K-Nearest Neighbors
+
+
+
+
+
+knn = KNeighborsClassifier()
+
+knn.fit(X_train, y_train)
+
+print('Accuracy of K-NN classifier on training set: {:.2f}'
+
+     .format(knn.score(X_train, y_train)))
+
+print('Accuracy of K-NN classifier on test set: {:.2f}'
+
+     .format(knn.score(X_test, y_test)))
+
+
+
+print(logreg.predict_proba(X_train))
+
+print(logreg.predict(X_train))
+
+
+
+print(knn.predict_proba([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+print(knn.predict([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+
+
+# Classifier Linear Discriminant Analysis
+
+
+
+lda = LinearDiscriminantAnalysis()
+
+lda.fit(X_train, y_train)
+
+print(X_train)
+
+
+
+print('Accuracy of LDA classifier on training set: {:.2f}'
+
+     .format(lda.score(X_train, y_train)))
+
+print('Accuracy of LDA classifier on test set: {:.2f}'
+
+     .format(lda.score(X_test, y_test)))
+
+
+
+
+
+print(lda.predict_proba([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+print(lda.predict([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+
+
+
+
+# Classifier: Gaussian Naive Bayes
+
+
+
+gnb = GaussianNB()
+
+gnb.fit(X_train, y_train)
+
+print('Accuracy of GNB classifier on training set: {:.2f}'
+
+     .format(gnb.score(X_train, y_train)))
+
+print('Accuracy of GNB classifier on test set: {:.2f}'
+
+     .format(gnb.score(X_test, y_test)))
+
+
+
+print(gnb.predict_proba([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+print(gnb.predict([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+
+
+# Classifier: Support Vector Machine
+
+
+
+svm = SVC(probability=True)
+
+svm.fit(X_train, y_train)
+
+print('Accuracy of SVM classifier on training set: {:.2f}'
+
+     .format(svm.score(X_train, y_train)))
+
+print('Accuracy of SVM classifier on test set: {:.2f}'
+
+     .format(svm.score(X_test, y_test)))
+
+
+
+print(svm.predict_proba([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+print(svm.predict([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
+
+
+
+#
+# Load the Boston Data Set
+
+# Create training and test split
+#
+# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
+#
+# Create an instance of Lasso Regression implementation
+#
+lasso = Lasso(alpha=1.0)
+#
+# Fit the Lasso model
+#
+lasso.fit(X_train, y_train)
+#
+# Create the model score
+#
+# lasso.score(X_test, y_test), lasso.score(X_train, y_train)
+
+
+print('Accuracy of Lasso classifier on training set: {:.2f}'
+
+     .format(lasso.score(X_train, y_train)))
+
+print('Accuracy of Lasso classifier on test set: {:.2f}'
+
+     .format(lasso.score(X_test, y_test)))
+
+# print('Lasso')
+print(lasso.predict([[0.14285714, 0.08823529, 0.69230769, 0.43243243]]))
diff --git a/projects/multiai/README.md b/projects/multiai/README.md
new file mode 100644
index 00000000..9019ed20
--- /dev/null
+++ b/projects/multiai/README.md
@@ -0,0 +1 @@
+# multiai
\ No newline at end of file
diff --git a/projects/multiai/fruit_data_with_colors.txt b/projects/multiai/fruit_data_with_colors.txt
new file mode 100644
index 00000000..feed2c92
--- /dev/null
+++ b/projects/multiai/fruit_data_with_colors.txt
@@ -0,0 +1,60 @@
+fruit_label	fruit_name	fruit_subtype	mass	width	height	color_score
+1	apple	granny_smith	192	8.4	7.3	0.55
+1	apple	granny_smith	180	8.0	6.8	0.59
+1	apple	granny_smith	176	7.4	7.2	0.60
+2	mandarin	mandarin	86 	6.2	4.7	0.80
+2	mandarin	mandarin	84 	6.0	4.6	0.79
+2	mandarin	mandarin	80 	5.8	4.3	0.77
+2	mandarin	mandarin	80 	5.9 	4.3	0.81
+2	mandarin	mandarin	76	5.8	4.0	0.81
+1	apple	braeburn	178	7.1	7.8	0.92
+1	apple	braeburn	172	7.4	7.0	0.89
+1	apple	braeburn	166	6.9	7.3	0.93
+1	apple	braeburn	172	7.1	7.6	0.92
+1	apple	braeburn	154	7.0	7.1	0.88
+1	apple	golden_delicious	164	7.3	7.7	0.70
+1	apple	golden_delicious	152	7.6	7.3	0.69
+1	apple	golden_delicious	156	7.7	7.1	0.69
+1	apple	golden_delicious	156	7.6	7.5	0.67
+1	apple	golden_delicious	168	7.5	7.6	0.73
+1	apple	cripps_pink	162	7.5	7.1	0.83
+1	apple	cripps_pink	162	7.4	7.2	0.85
+1	apple	cripps_pink	160	7.5	7.5	0.86
+1	apple	cripps_pink	156	7.4	7.4	0.84
+1	apple	cripps_pink	140	7.3	7.1	0.87
+1	apple	cripps_pink	170	7.6	7.9	0.88
+3	orange	spanish_jumbo	342	9.0	9.4	0.75
+3	orange	spanish_jumbo	356	9.2	9.2	0.75
+3	orange	spanish_jumbo	362	9.6	9.2	0.74
+3	orange	selected_seconds	204	7.5	9.2	0.77
+3	orange	selected_seconds	140	6.7	7.1	0.72
+3	orange	selected_seconds	160	7.0	7.4	0.81
+3	orange	selected_seconds	158	7.1	7.5	0.79
+3	orange	selected_seconds	210	7.8	8.0	0.82
+3	orange	selected_seconds	164	7.2	7.0	0.80
+3	orange	turkey_navel	190	7.5	8.1	0.74
+3	orange	turkey_navel	142	7.6	7.8	0.75
+3	orange	turkey_navel	150	7.1	7.9	0.75
+3	orange	turkey_navel	160	7.1	7.6	0.76
+3	orange	turkey_navel	154	7.3	7.3	0.79
+3	orange	turkey_navel	158	7.2	7.8	0.77
+3	orange	turkey_navel	144	6.8	7.4	0.75
+3	orange	turkey_navel	154	7.1	7.5	0.78
+3	orange	turkey_navel	180	7.6	8.2	0.79
+3	orange	turkey_navel	154	7.2	7.2	0.82
+4	lemon	spanish_belsan	194	7.2	10.3	0.70
+4	lemon	spanish_belsan	200	7.3	10.5	0.72
+4	lemon	spanish_belsan	186	7.2	9.2	0.72
+4	lemon	spanish_belsan	216	7.3	10.2	0.71
+4	lemon	spanish_belsan	196	7.3	9.7	0.72
+4	lemon	spanish_belsan	174	7.3	10.1	0.72
+4	lemon	unknown	132	5.8	8.7	0.73
+4	lemon	unknown	130	6.0	8.2	0.71
+4	lemon	unknown	116	6.0	7.5	0.72
+4	lemon	unknown	118	5.9	8.0	0.72
+4	lemon	unknown	120	6.0	8.4	0.74
+4	lemon	unknown	116	6.1	8.5	0.71
+4	lemon	unknown	116	6.3	7.7	0.72
+4	lemon	unknown	116	5.9	8.1	0.73
+4	lemon	unknown	152	6.5	8.5	0.72
+4	lemon	unknown	118	6.1	8.1	0.70
\ No newline at end of file
diff --git a/projects/multiai/img_recognition/code.js b/projects/multiai/img_recognition/code.js
new file mode 100644
index 00000000..cf977bba
--- /dev/null
+++ b/projects/multiai/img_recognition/code.js
@@ -0,0 +1,114 @@
+$(document).ready(function() {
+    tf = window.tf;
+  console.log('tf ready');
+    async function loadMobilenet() {
+      const modelWeigths = await tf.loadModel('model.json');
+  
+      // Return a model that outputs an internal activation.
+      const layer = modelWeigths.getLayer('dense');
+      model = await tf.model({inputs: modelWeigths.inputs, outputs: layer.output});
+    };
+  
+    canvas = document.createElement('canvas');
+    canvas.width  = 224;
+    canvas.height = 224;
+    ctx = canvas.getContext("2d");
+    loadMN = loadMobilenet();
+  
+    swiperSide = new Swiper('.product-photos-side .swiper-container', {
+      direction: 'horizontal',
+      centeredSlides: true,
+      spaceBetween: 30,
+      slidesPerView: 'auto',
+      touchRatio: 0.2,
+      slideToClickedSlide: true,
+    })
+    swiperProduct = new Swiper('.product-photo-main .swiper-container', {
+      direction: 'horizontal',
+      pagination: '.swiper-pagination',
+      paginationClickable: true,
+    })
+  
+    swiperSide.params.control = swiperProduct;
+    swiperProduct.params.control = swiperSide;
+  
+    swiperSide.on('transitionEnd', function () {
+      if (swiperSide.activeIndex == 12){
+        if($("#imageFromUser")[0].src != ""){
+          inferImage($("#imageFromUser")[0]);
+        }
+        else {
+          $("#results_title").text("");
+          $("#first_place").text("");
+          $("#second_place").text("");
+          $("#third_place").text("");
+          $("#fourth_place").text("");
+          $("#fifth_place").text("");
+        }
+      } else {
+        inferImage($('.swiper-slide-active img')[0]);
+      }
+    });
+  
+    loadMN.then(function(){
+      inferImage($('.swiper-slide-active img')[0]);
+    });
+  });
+  
+  async function startUserImage(imageFilePath) {
+    $("#textInfoSendImage").remove();
+    var imgDataURL = window.URL.createObjectURL(document.getElementById('userImageInput').files[0]);
+    $("#imageFromUser")[0].src = imgDataURL;
+    if(swiperProduct.activeIndex == 12){
+      await new Promise(resolve => setTimeout(resolve, 10));
+      inferImage($("#imageFromUser")[0]);
+    } else{
+      swiperProduct.slideTo(12);
+    };
+  };
+  
+  async function inferImage(image){
+    // Set text as "Processing" and erase old results
+    $("#results_title").text("Processing...");
+    $("#first_place").text("");
+    $("#second_place").text("");
+    $("#third_place").text("");
+    $("#fourth_place").text("");
+    $("#fifth_place").text("");
+  
+    // Deep Learning Inference
+    ctx.drawImage(image, 0, 0, image.naturalWidth, image.naturalHeight, 0, 0, 224, 224);
+    imageData = ctx.getImageData(0, 0, 224, 224);
+    imagePixels = tf.fromPixels(imageData).expandDims(0).toFloat().div(tf.scalar(255));
+    predictedArray = await model.predict(imagePixels).as1D().data();
+  
+    response = {}
+  
+    for (i = 0; i <= 127; i++) {
+      if(Number.isFinite(response[labels[i][1]])){
+        response[labels[i][1]] += predictedArray[i];
+      }
+      else {
+        response[labels[i][1]] = predictedArray[i];
+      }
+    };
+  
+    response = Object.keys(response).map(item => [item, response[item]]);
+  
+    response.sort(function(a, b) {
+        return a[1] < b[1] ? 1 : -1;
+    });
+  
+    // Print top 5 on html elements
+    $("#results_title").text("Results");
+    $("#first_place").text(buldLabel(response,  0));
+    $("#second_place").text(buldLabel(response, 1));
+    $("#third_place").text(buldLabel(response,  2));
+    $("#fourth_place").text(buldLabel(response, 3));
+    $("#fifth_place").text(buldLabel(response,  4));
+  
+  }
+  
+  function buldLabel(response, index){
+    return response[index][0]+": "+response[index][1].toFixed(4);
+  }
\ No newline at end of file
diff --git a/projects/multiai/img_recognition/imgs/1.jpg b/projects/multiai/img_recognition/imgs/1.jpg
new file mode 100644
index 00000000..8ce2d3ba
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/1.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/10.jpg b/projects/multiai/img_recognition/imgs/10.jpg
new file mode 100644
index 00000000..89bdeadd
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/10.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/11.jpg b/projects/multiai/img_recognition/imgs/11.jpg
new file mode 100644
index 00000000..34338c1e
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/11.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/12.jpg b/projects/multiai/img_recognition/imgs/12.jpg
new file mode 100644
index 00000000..96b1fcfa
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/12.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/2.jpg b/projects/multiai/img_recognition/imgs/2.jpg
new file mode 100644
index 00000000..18d28aa2
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/2.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/3.jpg b/projects/multiai/img_recognition/imgs/3.jpg
new file mode 100644
index 00000000..2dab8aa3
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/3.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/4.jpg b/projects/multiai/img_recognition/imgs/4.jpg
new file mode 100644
index 00000000..71166ad2
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/4.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/5.jpg b/projects/multiai/img_recognition/imgs/5.jpg
new file mode 100644
index 00000000..362d4ec2
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/5.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/6.jpg b/projects/multiai/img_recognition/imgs/6.jpg
new file mode 100644
index 00000000..b317ac96
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/6.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/7.jpg b/projects/multiai/img_recognition/imgs/7.jpg
new file mode 100644
index 00000000..a63103df
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/7.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/8.jpg b/projects/multiai/img_recognition/imgs/8.jpg
new file mode 100644
index 00000000..376f1780
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/8.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/9.jpg b/projects/multiai/img_recognition/imgs/9.jpg
new file mode 100644
index 00000000..f7139275
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/9.jpg differ
diff --git a/projects/multiai/img_recognition/imgs/download.png b/projects/multiai/img_recognition/imgs/download.png
new file mode 100644
index 00000000..d9902332
Binary files /dev/null and b/projects/multiai/img_recognition/imgs/download.png differ
diff --git a/projects/multiai/img_recognition/index.html b/projects/multiai/img_recognition/index.html
new file mode 100644
index 00000000..3e9815e5
--- /dev/null
+++ b/projects/multiai/img_recognition/index.html
@@ -0,0 +1,1208 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+	<meta charset="UTF-8">
+	<title>Tensorflow.js furniture classification</title>
+	<meta name="viewport" content="width=device-width, initial-scale=1">
+	<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.0/jquery.min.js"></script>
+	<script src="https://cdnjs.cloudflare.com/ajax/libs/Swiper/3.4.0/js/swiper.min.js"></script>
+	<script src="https://cdnjs.cloudflare.com/ajax/libs/tensorflow/0.14.2/tf.min.js"></script>
+	<!-- <script src="https://adrianodennanni.github.io/furniture_classifier/labels.js"></script> -->
+</head>
+
+<body>
+	<style src="https://cdnjs.cloudflare.com/ajax/libs/Swiper/3.4.0/css/swiper.min.css"></style>
+
+	<div class="main">
+		<div class="container">
+			<article>
+				<h1 class="center">Clasificare mobila folosind image recognition</h1>
+				<h2 class="subtitle center">cu Tensorflow.js</h2>
+				<br />
+			</article>
+			<div class="product-gallery">
+				<div class="product-photo-main">
+					<div class="swiper-container">
+						<div class="swiper-wrapper">
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/1.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/2.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/3.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/4.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/5.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/6.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/7.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/8.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/9.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/10.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/11.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/12.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<img id="imageFromUser">
+								<div id="textInfoSendImage">
+									Use the menu on the right to use a photo from your computer!
+								</div>
+							</div>
+						</div>
+						<div class="swiper-pagination"></div>
+					</div>
+				</div>
+				<div class="tf-results">
+					Select a image on the left
+					<br>
+					<b>OR</b>
+					<br>
+					<input type="file" id="userImageInput" onchange="startUserImage()"
+						accept="image/x-png,image/jpg,image/jpeg" />
+					<br>
+					<br>
+					<h1 id="results_title">Processing...</h1>
+					<h2 id="first_place"></h2>
+					<h4 id="second_place"></h4>
+					<h4 id="third_place"></h4>
+					<h4 id="fourth_place"></h4>
+					<h4 id="fifth_place"></h4>
+				</div>
+				<div class="product-photos-side">
+					<div class="swiper-container">
+						<div class="swiper-wrapper">
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/1.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/2.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/3.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/4.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/5.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/6.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/7.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/8.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/9.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/10.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/11.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/12.jpg">
+								</div>
+							</div>
+							<div class="swiper-slide">
+								<div class="swiper-zoom-container">
+									<img src="imgs/upload_icon.png" style="padding:15px;">
+								</div>
+							</div>
+						</div>
+					</div>
+				</div>
+
+			</div>
+		</div>
+	</div>
+
+	<style>
+		*,
+		*:after,
+		*:before {
+			margin: 0;
+			padding: 0;
+			box-sizing: border-box;
+			word-wrap: break-word;
+			-webkit-tap-highlight-color: transparent;
+		}
+
+		html,
+		body {
+			min-height: 90vh;
+			margin: 10px;
+		}
+
+		html {
+			background-color: #FFF;
+			text-rendering: optimizeLegibility;
+			-webkit-text-size-adjust: 100%;
+			-webkit-font-smoothing: antialiased;
+			-moz-osx-font-smoothing: grayscale;
+		}
+
+		body {
+			color: #444;
+			background-attachment: fixed;
+			font-family: "Noto Sans", sans-serif;
+			font-weight: normal;
+			font-style: normal;
+		}
+
+		.container {
+			margin: auto;
+			padding: 25px 0;
+			max-width: 1025px;
+		}
+
+		h1,
+		h2,
+		p {
+			margin-bottom: 15px;
+		}
+
+		h1,
+		h2 {
+			line-height: 1em;
+		}
+
+		.center {
+			text-align: center;
+		}
+
+		h2.subtitle {
+			font-size: inherit;
+			font-style: italic;
+			font-weight: normal;
+		}
+
+		a {
+			color: inherit;
+			text-decoration: none;
+		}
+
+		a:hover {
+			text-decoration: underline;
+		}
+
+		.swiper-container,
+		.swiper-container * {
+			-webkit-user-select: none;
+			-moz-user-select: none;
+			-ms-user-select: none;
+		}
+
+		.swiper-container .swiper-no-swiping .swiper-button-prev,
+		.swiper-container .swiper-no-swiping .swiper-button-next {
+			opacity: 0;
+		}
+
+		.swiper-button-next.swiper-button-disabled,
+		.swiper-button-prev.swiper-button-disabled {
+			opacity: .1;
+		}
+
+		.product-gallery .product-photos-side,
+		.product-gallery .product-photo-main {
+			position: relative;
+			width: 48%;
+		}
+
+		.tf-results {
+			position: relative;
+			height: 100%;
+			float: right;
+			width: 48%;
+			padding: 20px;
+		}
+
+		.product-gallery .product-photo-main {
+			margin-bottom: 30px;
+			float: left;
+			border-style: groove;
+			border-width: thin;
+		}
+
+		.product-gallery .product-photos-side .swiper-container {
+			height: 70px;
+			border-style: groove;
+			border-width: thin;
+		}
+
+		.product-gallery .product-photo-main .swiper-container {
+			height: 320px;
+		}
+
+		.product-gallery .product-photos-side .swiper-slide {
+			width: 70px;
+			opacity: .4;
+			transition: 225ms opacity ease-in-out;
+		}
+
+		.product-gallery .product-photos-side .swiper-slide.swiper-slide-active {
+			opacity: 1;
+		}
+
+		.product-gallery .swiper-container {
+			position: static;
+			width: 100%;
+		}
+
+		.product-gallery .swiper-slide {
+			cursor: pointer;
+			text-align: center;
+		}
+
+		.product-gallery img {
+			max-height: 100%;
+			max-width: 100%;
+		}
+
+		.product-photos-side .swiper-slide img {
+			max-height: 100%;
+			max-width: 100%;
+		}
+
+		@media (max-width: 1025px) {
+			.container {
+				padding: 0;
+			}
+		}
+	</style>
+	<script>
+		labels = [
+			[0, "Recliner chair"],
+			[1, "Double bed"],
+			[2, "Cup set"],
+			[3, "Metal bed"],
+			[4, "Crockery holder"],
+			[5, "Corner table"],
+			[6, "Bar stool"],
+			[7, "Jar"],
+			[8, "Aluminum tray"],
+			[9, "Meat cutting knife"],
+			[10, "Pan"],
+			[11, "Wok"],
+			[12, "Water purifier"],
+			[13, "Plastic plate"],
+			[14, "Screen"],
+			[15, "Ceramic plate"],
+			[16, "TV Stand"],
+			[17, "Metal bowl"],
+			[18, "Wall shelf"],
+			[19, "Coat rack"],
+			[20, "Wooden bunk bed"],
+			[21, "Pan"],
+			[22, "Massage chair"],
+			[23, "Table lamp"],
+			[24, "Puff footrest"],
+			[25, "Wall shelf"],
+			[26, "Coat hanger"],
+			[27, "Scissors"],
+			[28, "Cooled wine Cellars"],
+			[29, "Mug"],
+			[30, "Wooden table"],
+			[31, "Plastic plate"],
+			[32, "Center table"],
+			[33, "Upholstered chest"],
+			[34, "Mirror"],
+			[35, "Wooden chair"],
+			[36, "Rice cooker"],
+			[37, "Puff chair"],
+			[38, "Divan"],
+			[39, "Center table"],
+			[40, "Thermal bottle"],
+			[41, "Glass cup"],
+			[42, "Couch"],
+			[43, "Upholstered chair"],
+			[44, "Leather chair"],
+			[45, "Wooden wardrobe"],
+			[46, "Wooden shelf"],
+			[47, "Plastic chair"],
+			[48, "Ceramic bowl"],
+			[49, "Wooden wardrobe"],
+			[50, "Upholstered chair"],
+			[51, "Office chair"],
+			[52, "LED"],
+			[53, "Wooden nightstand"],
+			[54, "Metal shelf"],
+			[55, "Refrigerator"],
+			[56, "Cabinet"],
+			[57, "Double bed"],
+			[58, "Heater"],
+			[59, "Wall lamp"],
+			[60, "Duvet"],
+			[61, "Frying pan"],
+			[62, "Living room chair"],
+			[63, "Towel holder"],
+			[64, "Portable stove"],
+			[65, "Desk"],
+			[66, "Baby chair"],
+			[67, "Water tap"],
+			[68, "Couch"],
+			[69, "Cutting board"],
+			[70, "Animal decoration"],
+			[71, "LED lamp"],
+			[72, "Ceramic tea cup"],
+			[73, "Pan"],
+			[74, "Plastic cup"],
+			[75, "Geometrical ceiling lamp"],
+			[76, "Computer"],
+			[77, "Ceiling lamp"],
+			[78, "Plastic water bottle"],
+			[79, "Suspended chair"],
+			[80, "Toilet"],
+			[81, "Knife set"],
+			[82, "Child chair"],
+			[83, "Laptop support"],
+			[84, "Rocking chair"],
+			[85, "Spice container"],
+			[86, "Cabinet"],
+			[87, "Dresser"],
+			[88, "Chair"],
+			[89, "Wine cup"],
+			[90, "Wine cellar"],
+			[91, "Kitchen stand"],
+			[92, "TV Stand"],
+			[93, "Clock"],
+			[94, "Soymilk Machine"],
+			[95, "Television"],
+			[96, "Wooden bed"],
+			[97, "Cabinet"],
+			[98, "Vegetable peeler"],
+			[99, "Yixing clay teapot"],
+			[100, "Plastic bowl"],
+			[101, "Bookshelf"],
+			[102, "Round rug"],
+			[103, "Air filter"],
+			[104, "Microwave oven"],
+			[105, "Knife"],
+			[106, "Dining table"],
+			[107, "Center table"],
+			[108, "Air Conditioner"],
+			[109, "Plastic bowl"],
+			[110, "Bar Table"],
+			[111, "Squared ceiling lamp"],
+			[112, "Plastic cabinet"],
+			[113, "Sofa bed"],
+			[114, "Frying pan"],
+			[115, "Thermal bottle"],
+			[116, "Chandelier"],
+			[117, "Swiss knife"],
+			[118, "Sink"],
+			[119, "Wooden sofa"],
+			[120, "Pillow"],
+			[121, "Tall lamp"],
+			[122, "Straw sofa"],
+			[123, "Round cutting board"],
+			[124, "Garden table"],
+			[125, "Sophisticated ceiling lamp"],
+			[126, "Thermal food storage"],
+			[127, "Squared rug"]
+		]
+	</script>
+	<script>
+		$(document).ready(function () {
+			tf = window.tf;
+
+			async function loadMobilenet() {
+				const modelWeigths = await tf.loadModel('https://adrianodennanni.github.io/furniture_classifier/model/model.json');
+
+				// Return a model that outputs an internal activation.
+				const layer = modelWeigths.getLayer('dense');
+				model = await tf.model({ inputs: modelWeigths.inputs, outputs: layer.output });
+			};
+
+			canvas = document.createElement('canvas');
+			canvas.width = 224;
+			canvas.height = 224;
+			ctx = canvas.getContext("2d");
+			loadMN = loadMobilenet();
+
+			swiperSide = new Swiper('.product-photos-side .swiper-container', {
+				direction: 'horizontal',
+				centeredSlides: true,
+				spaceBetween: 30,
+				slidesPerView: 'auto',
+				touchRatio: 0.2,
+				slideToClickedSlide: true,
+			})
+			swiperProduct = new Swiper('.product-photo-main .swiper-container', {
+				direction: 'horizontal',
+				pagination: '.swiper-pagination',
+				paginationClickable: true,
+			})
+
+			swiperSide.params.control = swiperProduct;
+			swiperProduct.params.control = swiperSide;
+
+			swiperSide.on('transitionEnd', function () {
+				if (swiperSide.activeIndex == 12) {
+					if ($("#imageFromUser")[0].src != "") {
+						inferImage($("#imageFromUser")[0]);
+					}
+					else {
+						$("#results_title").text("");
+						$("#first_place").text("");
+						$("#second_place").text("");
+						$("#third_place").text("");
+						$("#fourth_place").text("");
+						$("#fifth_place").text("");
+					}
+				} else {
+					inferImage($('.swiper-slide-active img')[0]);
+				}
+			});
+
+			loadMN.then(function () {
+				inferImage($('.swiper-slide-active img')[0]);
+			});
+		});
+
+		async function startUserImage(imageFilePath) {
+			$("#textInfoSendImage").remove();
+			var imgDataURL = window.URL.createObjectURL(document.getElementById('userImageInput').files[0]);
+			$("#imageFromUser")[0].src = imgDataURL;
+			if (swiperProduct.activeIndex == 12) {
+				await new Promise(resolve => setTimeout(resolve, 10));
+				inferImage($("#imageFromUser")[0]);
+			} else {
+				swiperProduct.slideTo(12);
+			};
+		};
+
+		async function inferImage(image) {
+			// Set text as "Processing" and erase old results
+			$("#results_title").text("Processing...");
+			$("#first_place").text("");
+			$("#second_place").text("");
+			$("#third_place").text("");
+			$("#fourth_place").text("");
+			$("#fifth_place").text("");
+
+			// Deep Learning Inference
+			ctx.drawImage(image, 0, 0, image.naturalWidth, image.naturalHeight, 0, 0, 224, 224);
+			imageData = ctx.getImageData(0, 0, 224, 224);
+			imagePixels = tf.fromPixels(imageData).expandDims(0).toFloat().div(tf.scalar(255));
+			predictedArray = await model.predict(imagePixels).as1D().data();
+
+			response = {}
+
+			for (i = 0; i <= 127; i++) {
+				if (Number.isFinite(response[labels[i][1]])) {
+					response[labels[i][1]] += predictedArray[i];
+				}
+				else {
+					response[labels[i][1]] = predictedArray[i];
+				}
+			};
+
+			response = Object.keys(response).map(item => [item, response[item]]);
+
+			response.sort(function (a, b) {
+				return a[1] < b[1] ? 1 : -1;
+			});
+
+			// Print top 5 on html elements
+			$("#results_title").text("Results");
+			$("#first_place").text(buldLabel(response, 0));
+			$("#second_place").text(buldLabel(response, 1));
+			$("#third_place").text(buldLabel(response, 2));
+			$("#fourth_place").text(buldLabel(response, 3));
+			$("#fifth_place").text(buldLabel(response, 4));
+
+		}
+
+		function buldLabel(response, index) {
+			return response[index][0] + ": " + response[index][1].toFixed(4);
+		}
+	</script>
+
+	<style>
+		/**
+ * Swiper 3.4.0
+ * Most modern mobile touch slider and framework with hardware accelerated transitions
+ * 
+ * http://www.idangero.us/swiper/
+ * 
+ * Copyright 2016, Vladimir Kharlampidi
+ * The iDangero.us
+ * http://www.idangero.us/
+ * 
+ * Licensed under MIT
+ * 
+ * Released on: October 16, 2016
+ */
+		.swiper-container {
+			margin-left: auto;
+			margin-right: auto;
+			position: relative;
+			overflow: hidden;
+			z-index: 1
+		}
+
+		.swiper-container-no-flexbox .swiper-slide {
+			float: left
+		}
+
+		.swiper-container-vertical>.swiper-wrapper {
+			-webkit-box-orient: vertical;
+			-moz-box-orient: vertical;
+			-ms-flex-direction: column;
+			-webkit-flex-direction: column;
+			flex-direction: column
+		}
+
+		.swiper-wrapper {
+			position: relative;
+			width: 100%;
+			height: 100%;
+			z-index: 1;
+			display: -webkit-box;
+			display: -moz-box;
+			display: -ms-flexbox;
+			display: -webkit-flex;
+			display: flex;
+			-webkit-transition-property: -webkit-transform;
+			-moz-transition-property: -moz-transform;
+			-o-transition-property: -o-transform;
+			-ms-transition-property: -ms-transform;
+			transition-property: transform;
+			-webkit-box-sizing: content-box;
+			-moz-box-sizing: content-box;
+			box-sizing: content-box
+		}
+
+		.swiper-container-android .swiper-slide,
+		.swiper-wrapper {
+			-webkit-transform: translate3d(0, 0, 0);
+			-moz-transform: translate3d(0, 0, 0);
+			-o-transform: translate(0, 0);
+			-ms-transform: translate3d(0, 0, 0);
+			transform: translate3d(0, 0, 0)
+		}
+
+		.swiper-container-multirow>.swiper-wrapper {
+			-webkit-box-lines: multiple;
+			-moz-box-lines: multiple;
+			-ms-flex-wrap: wrap;
+			-webkit-flex-wrap: wrap;
+			flex-wrap: wrap
+		}
+
+		.swiper-container-free-mode>.swiper-wrapper {
+			-webkit-transition-timing-function: ease-out;
+			-moz-transition-timing-function: ease-out;
+			-ms-transition-timing-function: ease-out;
+			-o-transition-timing-function: ease-out;
+			transition-timing-function: ease-out;
+			margin: 0 auto
+		}
+
+		.swiper-slide {
+			-webkit-flex-shrink: 0;
+			-ms-flex: 0 0 auto;
+			flex-shrink: 0;
+			width: 100%;
+			height: 100%;
+			position: relative
+		}
+
+		.swiper-container-autoheight,
+		.swiper-container-autoheight .swiper-slide {
+			height: auto
+		}
+
+		.swiper-container-autoheight .swiper-wrapper {
+			-webkit-box-align: start;
+			-ms-flex-align: start;
+			-webkit-align-items: flex-start;
+			align-items: flex-start;
+			-webkit-transition-property: -webkit-transform, height;
+			-moz-transition-property: -moz-transform;
+			-o-transition-property: -o-transform;
+			-ms-transition-property: -ms-transform;
+			transition-property: transform, height
+		}
+
+		.swiper-container .swiper-notification {
+			position: absolute;
+			left: 0;
+			top: 0;
+			pointer-events: none;
+			opacity: 0;
+			z-index: -1000
+		}
+
+		.swiper-wp8-horizontal {
+			-ms-touch-action: pan-y;
+			touch-action: pan-y
+		}
+
+		.swiper-wp8-vertical {
+			-ms-touch-action: pan-x;
+			touch-action: pan-x
+		}
+
+		.swiper-button-next,
+		.swiper-button-prev {
+			position: absolute;
+			top: 50%;
+			width: 27px;
+			height: 44px;
+			margin-top: -22px;
+			z-index: 10;
+			cursor: pointer;
+			-moz-background-size: 27px 44px;
+			-webkit-background-size: 27px 44px;
+			background-size: 27px 44px;
+			background-position: center;
+			background-repeat: no-repeat
+		}
+
+		.swiper-button-next.swiper-button-disabled,
+		.swiper-button-prev.swiper-button-disabled {
+			opacity: .35;
+			cursor: auto;
+			pointer-events: none
+		}
+
+		.swiper-button-prev,
+		.swiper-container-rtl .swiper-button-next {
+			background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2027%2044'%3E%3Cpath%20d%3D'M0%2C22L22%2C0l2.1%2C2.1L4.2%2C22l19.9%2C19.9L22%2C44L0%2C22L0%2C22L0%2C22z'%20fill%3D'%23007aff'%2F%3E%3C%2Fsvg%3E");
+			left: 10px;
+			right: auto
+		}
+
+		.swiper-button-prev.swiper-button-black,
+		.swiper-container-rtl .swiper-button-next.swiper-button-black {
+			background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2027%2044'%3E%3Cpath%20d%3D'M0%2C22L22%2C0l2.1%2C2.1L4.2%2C22l19.9%2C19.9L22%2C44L0%2C22L0%2C22L0%2C22z'%20fill%3D'%23000000'%2F%3E%3C%2Fsvg%3E")
+		}
+
+		.swiper-button-prev.swiper-button-white,
+		.swiper-container-rtl .swiper-button-next.swiper-button-white {
+			background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2027%2044'%3E%3Cpath%20d%3D'M0%2C22L22%2C0l2.1%2C2.1L4.2%2C22l19.9%2C19.9L22%2C44L0%2C22L0%2C22L0%2C22z'%20fill%3D'%23ffffff'%2F%3E%3C%2Fsvg%3E")
+		}
+
+		.swiper-button-next,
+		.swiper-container-rtl .swiper-button-prev {
+			background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2027%2044'%3E%3Cpath%20d%3D'M27%2C22L27%2C22L5%2C44l-2.1-2.1L22.8%2C22L2.9%2C2.1L5%2C0L27%2C22L27%2C22z'%20fill%3D'%23007aff'%2F%3E%3C%2Fsvg%3E");
+			right: 10px;
+			left: auto
+		}
+
+		.swiper-button-next.swiper-button-black,
+		.swiper-container-rtl .swiper-button-prev.swiper-button-black {
+			background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2027%2044'%3E%3Cpath%20d%3D'M27%2C22L27%2C22L5%2C44l-2.1-2.1L22.8%2C22L2.9%2C2.1L5%2C0L27%2C22L27%2C22z'%20fill%3D'%23000000'%2F%3E%3C%2Fsvg%3E")
+		}
+
+		.swiper-button-next.swiper-button-white,
+		.swiper-container-rtl .swiper-button-prev.swiper-button-white {
+			background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20viewBox%3D'0%200%2027%2044'%3E%3Cpath%20d%3D'M27%2C22L27%2C22L5%2C44l-2.1-2.1L22.8%2C22L2.9%2C2.1L5%2C0L27%2C22L27%2C22z'%20fill%3D'%23ffffff'%2F%3E%3C%2Fsvg%3E")
+		}
+
+		.swiper-pagination {
+			position: absolute;
+			text-align: center;
+			-webkit-transition: .3s;
+			-moz-transition: .3s;
+			-o-transition: .3s;
+			transition: .3s;
+			-webkit-transform: translate3d(0, 0, 0);
+			-ms-transform: translate3d(0, 0, 0);
+			-o-transform: translate3d(0, 0, 0);
+			transform: translate3d(0, 0, 0);
+			z-index: 10
+		}
+
+		.swiper-pagination.swiper-pagination-hidden {
+			opacity: 0
+		}
+
+		.swiper-container-horizontal>.swiper-pagination-bullets,
+		.swiper-pagination-custom,
+		.swiper-pagination-fraction {
+			bottom: 10px;
+			left: 0;
+			width: 100%
+		}
+
+		.swiper-pagination-bullet {
+			width: 8px;
+			height: 8px;
+			display: inline-block;
+			border-radius: 100%;
+			background: #000;
+			opacity: .2
+		}
+
+		button.swiper-pagination-bullet {
+			border: none;
+			margin: 0;
+			padding: 0;
+			box-shadow: none;
+			-moz-appearance: none;
+			-ms-appearance: none;
+			-webkit-appearance: none;
+			appearance: none
+		}
+
+		.swiper-pagination-clickable .swiper-pagination-bullet {
+			cursor: pointer
+		}
+
+		.swiper-pagination-white .swiper-pagination-bullet {
+			background: #fff
+		}
+
+		.swiper-pagination-bullet-active {
+			opacity: 1;
+			background: #007aff
+		}
+
+		.swiper-pagination-white .swiper-pagination-bullet-active {
+			background: #fff
+		}
+
+		.swiper-pagination-black .swiper-pagination-bullet-active {
+			background: #000
+		}
+
+		.swiper-container-vertical>.swiper-pagination-bullets {
+			right: 10px;
+			top: 50%;
+			-webkit-transform: translate3d(0, -50%, 0);
+			-moz-transform: translate3d(0, -50%, 0);
+			-o-transform: translate(0, -50%);
+			-ms-transform: translate3d(0, -50%, 0);
+			transform: translate3d(0, -50%, 0)
+		}
+
+		.swiper-container-vertical>.swiper-pagination-bullets .swiper-pagination-bullet {
+			margin: 5px 0;
+			display: block
+		}
+
+		.swiper-container-horizontal>.swiper-pagination-bullets .swiper-pagination-bullet {
+			margin: 0 5px
+		}
+
+		.swiper-pagination-progress {
+			background: rgba(0, 0, 0, .25);
+			position: absolute
+		}
+
+		.swiper-pagination-progress .swiper-pagination-progressbar {
+			background: #007aff;
+			position: absolute;
+			left: 0;
+			top: 0;
+			width: 100%;
+			height: 100%;
+			-webkit-transform: scale(0);
+			-ms-transform: scale(0);
+			-o-transform: scale(0);
+			transform: scale(0);
+			-webkit-transform-origin: left top;
+			-moz-transform-origin: left top;
+			-ms-transform-origin: left top;
+			-o-transform-origin: left top;
+			transform-origin: left top
+		}
+
+		.swiper-container-rtl .swiper-pagination-progress .swiper-pagination-progressbar {
+			-webkit-transform-origin: right top;
+			-moz-transform-origin: right top;
+			-ms-transform-origin: right top;
+			-o-transform-origin: right top;
+			transform-origin: right top
+		}
+
+		.swiper-container-horizontal>.swiper-pagination-progress {
+			width: 100%;
+			height: 4px;
+			left: 0;
+			top: 0
+		}
+
+		.swiper-container-vertical>.swiper-pagination-progress {
+			width: 4px;
+			height: 100%;
+			left: 0;
+			top: 0
+		}
+
+		.swiper-pagination-progress.swiper-pagination-white {
+			background: rgba(255, 255, 255, .5)
+		}
+
+		.swiper-pagination-progress.swiper-pagination-white .swiper-pagination-progressbar {
+			background: #fff
+		}
+
+		.swiper-pagination-progress.swiper-pagination-black .swiper-pagination-progressbar {
+			background: #000
+		}
+
+		.swiper-container-3d {
+			-webkit-perspective: 1200px;
+			-moz-perspective: 1200px;
+			-o-perspective: 1200px;
+			perspective: 1200px
+		}
+
+		.swiper-container-3d .swiper-cube-shadow,
+		.swiper-container-3d .swiper-slide,
+		.swiper-container-3d .swiper-slide-shadow-bottom,
+		.swiper-container-3d .swiper-slide-shadow-left,
+		.swiper-container-3d .swiper-slide-shadow-right,
+		.swiper-container-3d .swiper-slide-shadow-top,
+		.swiper-container-3d .swiper-wrapper {
+			-webkit-transform-style: preserve-3d;
+			-moz-transform-style: preserve-3d;
+			-ms-transform-style: preserve-3d;
+			transform-style: preserve-3d
+		}
+
+		.swiper-container-3d .swiper-slide-shadow-bottom,
+		.swiper-container-3d .swiper-slide-shadow-left,
+		.swiper-container-3d .swiper-slide-shadow-right,
+		.swiper-container-3d .swiper-slide-shadow-top {
+			position: absolute;
+			left: 0;
+			top: 0;
+			width: 100%;
+			height: 100%;
+			pointer-events: none;
+			z-index: 10
+		}
+
+		.swiper-container-3d .swiper-slide-shadow-left {
+			background-image: -webkit-gradient(linear, left top, right top, from(rgba(0, 0, 0, .5)), to(rgba(0, 0, 0, 0)));
+			background-image: -webkit-linear-gradient(right, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: -moz-linear-gradient(right, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: -o-linear-gradient(right, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: linear-gradient(to left, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0))
+		}
+
+		.swiper-container-3d .swiper-slide-shadow-right {
+			background-image: -webkit-gradient(linear, right top, left top, from(rgba(0, 0, 0, .5)), to(rgba(0, 0, 0, 0)));
+			background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: -moz-linear-gradient(left, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: -o-linear-gradient(left, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: linear-gradient(to right, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0))
+		}
+
+		.swiper-container-3d .swiper-slide-shadow-top {
+			background-image: -webkit-gradient(linear, left top, left bottom, from(rgba(0, 0, 0, .5)), to(rgba(0, 0, 0, 0)));
+			background-image: -webkit-linear-gradient(bottom, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: -moz-linear-gradient(bottom, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: -o-linear-gradient(bottom, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: linear-gradient(to top, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0))
+		}
+
+		.swiper-container-3d .swiper-slide-shadow-bottom {
+			background-image: -webkit-gradient(linear, left bottom, left top, from(rgba(0, 0, 0, .5)), to(rgba(0, 0, 0, 0)));
+			background-image: -webkit-linear-gradient(top, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: -moz-linear-gradient(top, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: -o-linear-gradient(top, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0));
+			background-image: linear-gradient(to bottom, rgba(0, 0, 0, .5), rgba(0, 0, 0, 0))
+		}
+
+		.swiper-container-coverflow .swiper-wrapper,
+		.swiper-container-flip .swiper-wrapper {
+			-ms-perspective: 1200px
+		}
+
+		.swiper-container-cube,
+		.swiper-container-flip {
+			overflow: visible
+		}
+
+		.swiper-container-cube .swiper-slide,
+		.swiper-container-flip .swiper-slide {
+			pointer-events: none;
+			-webkit-backface-visibility: hidden;
+			-moz-backface-visibility: hidden;
+			-ms-backface-visibility: hidden;
+			backface-visibility: hidden;
+			z-index: 1
+		}
+
+		.swiper-container-cube .swiper-slide .swiper-slide,
+		.swiper-container-flip .swiper-slide .swiper-slide {
+			pointer-events: none
+		}
+
+		.swiper-container-cube .swiper-slide-active,
+		.swiper-container-cube .swiper-slide-active .swiper-slide-active,
+		.swiper-container-flip .swiper-slide-active,
+		.swiper-container-flip .swiper-slide-active .swiper-slide-active {
+			pointer-events: auto
+		}
+
+		.swiper-container-cube .swiper-slide-shadow-bottom,
+		.swiper-container-cube .swiper-slide-shadow-left,
+		.swiper-container-cube .swiper-slide-shadow-right,
+		.swiper-container-cube .swiper-slide-shadow-top,
+		.swiper-container-flip .swiper-slide-shadow-bottom,
+		.swiper-container-flip .swiper-slide-shadow-left,
+		.swiper-container-flip .swiper-slide-shadow-right,
+		.swiper-container-flip .swiper-slide-shadow-top {
+			z-index: 0;
+			-webkit-backface-visibility: hidden;
+			-moz-backface-visibility: hidden;
+			-ms-backface-visibility: hidden;
+			backface-visibility: hidden
+		}
+
+		.swiper-container-cube .swiper-slide {
+			visibility: hidden;
+			-webkit-transform-origin: 0 0;
+			-moz-transform-origin: 0 0;
+			-ms-transform-origin: 0 0;
+			transform-origin: 0 0;
+			width: 100%;
+			height: 100%
+		}
+
+		.swiper-container-cube.swiper-container-rtl .swiper-slide {
+			-webkit-transform-origin: 100% 0;
+			-moz-transform-origin: 100% 0;
+			-ms-transform-origin: 100% 0;
+			transform-origin: 100% 0
+		}
+
+		.swiper-container-cube .swiper-slide-active,
+		.swiper-container-cube .swiper-slide-next,
+		.swiper-container-cube .swiper-slide-next+.swiper-slide,
+		.swiper-container-cube .swiper-slide-prev {
+			pointer-events: auto;
+			visibility: visible
+		}
+
+		.swiper-container-cube .swiper-cube-shadow {
+			position: absolute;
+			left: 0;
+			bottom: 0;
+			width: 100%;
+			height: 100%;
+			background: #000;
+			opacity: .6;
+			-webkit-filter: blur(50px);
+			filter: blur(50px);
+			z-index: 0
+		}
+
+		.swiper-container-fade.swiper-container-free-mode .swiper-slide {
+			-webkit-transition-timing-function: ease-out;
+			-moz-transition-timing-function: ease-out;
+			-ms-transition-timing-function: ease-out;
+			-o-transition-timing-function: ease-out;
+			transition-timing-function: ease-out
+		}
+
+		.swiper-container-fade .swiper-slide {
+			pointer-events: none;
+			-webkit-transition-property: opacity;
+			-moz-transition-property: opacity;
+			-o-transition-property: opacity;
+			transition-property: opacity
+		}
+
+		.swiper-container-fade .swiper-slide .swiper-slide {
+			pointer-events: none
+		}
+
+		.swiper-container-fade .swiper-slide-active,
+		.swiper-container-fade .swiper-slide-active .swiper-slide-active {
+			pointer-events: auto
+		}
+
+		.swiper-zoom-container {
+			width: 100%;
+			height: 100%;
+			display: -webkit-box;
+			display: -moz-box;
+			display: -ms-flexbox;
+			display: -webkit-flex;
+			display: flex;
+			-webkit-box-pack: center;
+			-moz-box-pack: center;
+			-ms-flex-pack: center;
+			-webkit-justify-content: center;
+			justify-content: center;
+			-webkit-box-align: center;
+			-moz-box-align: center;
+			-ms-flex-align: center;
+			-webkit-align-items: center;
+			align-items: center;
+			text-align: center
+		}
+
+		.swiper-zoom-container>canvas,
+		.swiper-zoom-container>img,
+		.swiper-zoom-container>svg {
+			max-width: 100%;
+			max-height: 100%;
+			object-fit: contain
+		}
+
+		.swiper-scrollbar {
+			border-radius: 10px;
+			position: relative;
+			-ms-touch-action: none;
+			background: rgba(0, 0, 0, .1)
+		}
+
+		.swiper-container-horizontal>.swiper-scrollbar {
+			position: absolute;
+			left: 1%;
+			bottom: 3px;
+			z-index: 50;
+			height: 5px;
+			width: 98%
+		}
+
+		.swiper-container-vertical>.swiper-scrollbar {
+			position: absolute;
+			right: 3px;
+			top: 1%;
+			z-index: 50;
+			width: 5px;
+			height: 98%
+		}
+
+		.swiper-scrollbar-drag {
+			height: 100%;
+			width: 100%;
+			position: relative;
+			background: rgba(0, 0, 0, .5);
+			border-radius: 10px;
+			left: 0;
+			top: 0
+		}
+
+		.swiper-scrollbar-cursor-drag {
+			cursor: move
+		}
+
+		.swiper-lazy-preloader {
+			width: 42px;
+			height: 42px;
+			position: absolute;
+			left: 50%;
+			top: 50%;
+			margin-left: -21px;
+			margin-top: -21px;
+			z-index: 10;
+			-webkit-transform-origin: 50%;
+			-moz-transform-origin: 50%;
+			transform-origin: 50%;
+			-webkit-animation: swiper-preloader-spin 1s steps(12, end) infinite;
+			-moz-animation: swiper-preloader-spin 1s steps(12, end) infinite;
+			animation: swiper-preloader-spin 1s steps(12, end) infinite
+		}
+
+		.swiper-lazy-preloader:after {
+			display: block;
+			content: "";
+			width: 100%;
+			height: 100%;
+			background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg%20viewBox%3D'0%200%20120%20120'%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20xmlns%3Axlink%3D'http%3A%2F%2Fwww.w3.org%2F1999%2Fxlink'%3E%3Cdefs%3E%3Cline%20id%3D'l'%20x1%3D'60'%20x2%3D'60'%20y1%3D'7'%20y2%3D'27'%20stroke%3D'%236c6c6c'%20stroke-width%3D'11'%20stroke-linecap%3D'round'%2F%3E%3C%2Fdefs%3E%3Cg%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(30%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(60%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(90%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(120%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(150%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.37'%20transform%3D'rotate(180%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.46'%20transform%3D'rotate(210%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.56'%20transform%3D'rotate(240%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.66'%20transform%3D'rotate(270%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.75'%20transform%3D'rotate(300%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.85'%20transform%3D'rotate(330%2060%2C60)'%2F%3E%3C%2Fg%3E%3C%2Fsvg%3E");
+			background-position: 50%;
+			-webkit-background-size: 100%;
+			background-size: 100%;
+			background-repeat: no-repeat
+		}
+
+		.swiper-lazy-preloader-white:after {
+			background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg%20viewBox%3D'0%200%20120%20120'%20xmlns%3D'http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg'%20xmlns%3Axlink%3D'http%3A%2F%2Fwww.w3.org%2F1999%2Fxlink'%3E%3Cdefs%3E%3Cline%20id%3D'l'%20x1%3D'60'%20x2%3D'60'%20y1%3D'7'%20y2%3D'27'%20stroke%3D'%23fff'%20stroke-width%3D'11'%20stroke-linecap%3D'round'%2F%3E%3C%2Fdefs%3E%3Cg%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(30%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(60%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(90%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(120%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.27'%20transform%3D'rotate(150%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.37'%20transform%3D'rotate(180%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.46'%20transform%3D'rotate(210%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.56'%20transform%3D'rotate(240%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.66'%20transform%3D'rotate(270%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.75'%20transform%3D'rotate(300%2060%2C60)'%2F%3E%3Cuse%20xlink%3Ahref%3D'%23l'%20opacity%3D'.85'%20transform%3D'rotate(330%2060%2C60)'%2F%3E%3C%2Fg%3E%3C%2Fsvg%3E")
+		}
+
+		@-webkit-keyframes swiper-preloader-spin {
+			100% {
+				-webkit-transform: rotate(360deg)
+			}
+		}
+
+		@keyframes swiper-preloader-spin {
+			100% {
+				transform: rotate(360deg)
+			}
+		}
+	</style>
+</body>
+
+</html>
\ No newline at end of file
diff --git a/projects/multiai/img_recognition/model.json b/projects/multiai/img_recognition/model.json
new file mode 100644
index 00000000..0c3528f6
--- /dev/null
+++ b/projects/multiai/img_recognition/model.json
@@ -0,0 +1 @@
+{"modelTopology": {"keras_version": "2.1.6-tf", "backend": "tensorflow", "model_config": {"class_name": "Model", "config": {"name": "model", "layers": [{"name": "input_1", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 224, 224, 3], "dtype": "float32", "sparse": false, "name": "input_1"}, "inbound_nodes": []}, {"name": "Conv1_pad", "class_name": "ZeroPadding2D", "config": {"name": "Conv1_pad", "trainable": true, "dtype": "float32", "padding": [[0, 1], [0, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["input_1", 0, 0, {}]]]}, {"name": "Conv1", "class_name": "Conv2D", "config": {"name": "Conv1", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["Conv1_pad", 0, 0, {}]]]}, {"name": "bn_Conv1", "class_name": "BatchNormalization", "config": {"name": "bn_Conv1", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["Conv1", 0, 0, {}]]]}, {"name": "Conv1_relu", "class_name": "ReLU", "config": {"name": "Conv1_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["bn_Conv1", 0, 0, {}]]]}, {"name": "expanded_conv_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "expanded_conv_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["Conv1_relu", 0, 0, {}]]]}, {"name": "expanded_conv_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "expanded_conv_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["expanded_conv_depthwise", 0, 0, {}]]]}, {"name": "expanded_conv_depthwise_relu", "class_name": "ReLU", "config": {"name": "expanded_conv_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["expanded_conv_depthwise_BN", 0, 0, {}]]]}, {"name": "expanded_conv_project", "class_name": "Conv2D", "config": {"name": "expanded_conv_project", "trainable": true, "dtype": "float32", "filters": 8, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["expanded_conv_depthwise_relu", 0, 0, {}]]]}, {"name": "expanded_conv_project_BN", "class_name": "BatchNormalization", "config": {"name": "expanded_conv_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["expanded_conv_project", 0, 0, {}]]]}, {"name": "block_1_expand", "class_name": "Conv2D", "config": {"name": "block_1_expand", "trainable": true, "dtype": "float32", "filters": 48, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["expanded_conv_project_BN", 0, 0, {}]]]}, {"name": "block_1_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_1_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_1_expand", 0, 0, {}]]]}, {"name": "block_1_expand_relu", "class_name": "ReLU", "config": {"name": "block_1_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_1_expand_BN", 0, 0, {}]]]}, {"name": "block_1_pad", "class_name": "ZeroPadding2D", "config": {"name": "block_1_pad", "trainable": true, "dtype": "float32", "padding": [[0, 1], [0, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["block_1_expand_relu", 0, 0, {}]]]}, {"name": "block_1_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_1_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_1_pad", 0, 0, {}]]]}, {"name": "block_1_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_1_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_1_depthwise", 0, 0, {}]]]}, {"name": "block_1_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_1_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_1_depthwise_BN", 0, 0, {}]]]}, {"name": "block_1_project", "class_name": "Conv2D", "config": {"name": "block_1_project", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_1_depthwise_relu", 0, 0, {}]]]}, {"name": "block_1_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_1_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_1_project", 0, 0, {}]]]}, {"name": "block_2_expand", "class_name": "Conv2D", "config": {"name": "block_2_expand", "trainable": true, "dtype": "float32", "filters": 96, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_1_project_BN", 0, 0, {}]]]}, {"name": "block_2_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_2_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_2_expand", 0, 0, {}]]]}, {"name": "block_2_expand_relu", "class_name": "ReLU", "config": {"name": "block_2_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_2_expand_BN", 0, 0, {}]]]}, {"name": "block_2_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_2_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_2_expand_relu", 0, 0, {}]]]}, {"name": "block_2_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_2_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_2_depthwise", 0, 0, {}]]]}, {"name": "block_2_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_2_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_2_depthwise_BN", 0, 0, {}]]]}, {"name": "block_2_project", "class_name": "Conv2D", "config": {"name": "block_2_project", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_2_depthwise_relu", 0, 0, {}]]]}, {"name": "block_2_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_2_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_2_project", 0, 0, {}]]]}, {"name": "block_2_add", "class_name": "Add", "config": {"name": "block_2_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_1_project_BN", 0, 0, {}], ["block_2_project_BN", 0, 0, {}]]]}, {"name": "block_3_expand", "class_name": "Conv2D", "config": {"name": "block_3_expand", "trainable": true, "dtype": "float32", "filters": 96, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_2_add", 0, 0, {}]]]}, {"name": "block_3_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_3_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_3_expand", 0, 0, {}]]]}, {"name": "block_3_expand_relu", "class_name": "ReLU", "config": {"name": "block_3_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_3_expand_BN", 0, 0, {}]]]}, {"name": "block_3_pad", "class_name": "ZeroPadding2D", "config": {"name": "block_3_pad", "trainable": true, "dtype": "float32", "padding": [[0, 1], [0, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["block_3_expand_relu", 0, 0, {}]]]}, {"name": "block_3_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_3_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_3_pad", 0, 0, {}]]]}, {"name": "block_3_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_3_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_3_depthwise", 0, 0, {}]]]}, {"name": "block_3_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_3_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_3_depthwise_BN", 0, 0, {}]]]}, {"name": "block_3_project", "class_name": "Conv2D", "config": {"name": "block_3_project", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_3_depthwise_relu", 0, 0, {}]]]}, {"name": "block_3_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_3_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_3_project", 0, 0, {}]]]}, {"name": "block_4_expand", "class_name": "Conv2D", "config": {"name": "block_4_expand", "trainable": true, "dtype": "float32", "filters": 96, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_3_project_BN", 0, 0, {}]]]}, {"name": "block_4_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_4_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_4_expand", 0, 0, {}]]]}, {"name": "block_4_expand_relu", "class_name": "ReLU", "config": {"name": "block_4_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_4_expand_BN", 0, 0, {}]]]}, {"name": "block_4_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_4_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_4_expand_relu", 0, 0, {}]]]}, {"name": "block_4_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_4_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_4_depthwise", 0, 0, {}]]]}, {"name": "block_4_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_4_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_4_depthwise_BN", 0, 0, {}]]]}, {"name": "block_4_project", "class_name": "Conv2D", "config": {"name": "block_4_project", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_4_depthwise_relu", 0, 0, {}]]]}, {"name": "block_4_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_4_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_4_project", 0, 0, {}]]]}, {"name": "block_4_add", "class_name": "Add", "config": {"name": "block_4_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_3_project_BN", 0, 0, {}], ["block_4_project_BN", 0, 0, {}]]]}, {"name": "block_5_expand", "class_name": "Conv2D", "config": {"name": "block_5_expand", "trainable": true, "dtype": "float32", "filters": 96, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_4_add", 0, 0, {}]]]}, {"name": "block_5_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_5_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_5_expand", 0, 0, {}]]]}, {"name": "block_5_expand_relu", "class_name": "ReLU", "config": {"name": "block_5_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_5_expand_BN", 0, 0, {}]]]}, {"name": "block_5_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_5_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_5_expand_relu", 0, 0, {}]]]}, {"name": "block_5_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_5_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_5_depthwise", 0, 0, {}]]]}, {"name": "block_5_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_5_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_5_depthwise_BN", 0, 0, {}]]]}, {"name": "block_5_project", "class_name": "Conv2D", "config": {"name": "block_5_project", "trainable": true, "dtype": "float32", "filters": 16, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_5_depthwise_relu", 0, 0, {}]]]}, {"name": "block_5_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_5_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_5_project", 0, 0, {}]]]}, {"name": "block_5_add", "class_name": "Add", "config": {"name": "block_5_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_4_add", 0, 0, {}], ["block_5_project_BN", 0, 0, {}]]]}, {"name": "block_6_expand", "class_name": "Conv2D", "config": {"name": "block_6_expand", "trainable": true, "dtype": "float32", "filters": 96, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_5_add", 0, 0, {}]]]}, {"name": "block_6_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_6_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_6_expand", 0, 0, {}]]]}, {"name": "block_6_expand_relu", "class_name": "ReLU", "config": {"name": "block_6_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_6_expand_BN", 0, 0, {}]]]}, {"name": "block_6_pad", "class_name": "ZeroPadding2D", "config": {"name": "block_6_pad", "trainable": true, "dtype": "float32", "padding": [[0, 1], [0, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["block_6_expand_relu", 0, 0, {}]]]}, {"name": "block_6_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_6_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_6_pad", 0, 0, {}]]]}, {"name": "block_6_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_6_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_6_depthwise", 0, 0, {}]]]}, {"name": "block_6_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_6_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_6_depthwise_BN", 0, 0, {}]]]}, {"name": "block_6_project", "class_name": "Conv2D", "config": {"name": "block_6_project", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_6_depthwise_relu", 0, 0, {}]]]}, {"name": "block_6_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_6_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_6_project", 0, 0, {}]]]}, {"name": "block_7_expand", "class_name": "Conv2D", "config": {"name": "block_7_expand", "trainable": true, "dtype": "float32", "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_6_project_BN", 0, 0, {}]]]}, {"name": "block_7_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_7_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_7_expand", 0, 0, {}]]]}, {"name": "block_7_expand_relu", "class_name": "ReLU", "config": {"name": "block_7_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_7_expand_BN", 0, 0, {}]]]}, {"name": "block_7_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_7_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_7_expand_relu", 0, 0, {}]]]}, {"name": "block_7_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_7_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_7_depthwise", 0, 0, {}]]]}, {"name": "block_7_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_7_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_7_depthwise_BN", 0, 0, {}]]]}, {"name": "block_7_project", "class_name": "Conv2D", "config": {"name": "block_7_project", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_7_depthwise_relu", 0, 0, {}]]]}, {"name": "block_7_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_7_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_7_project", 0, 0, {}]]]}, {"name": "block_7_add", "class_name": "Add", "config": {"name": "block_7_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_6_project_BN", 0, 0, {}], ["block_7_project_BN", 0, 0, {}]]]}, {"name": "block_8_expand", "class_name": "Conv2D", "config": {"name": "block_8_expand", "trainable": true, "dtype": "float32", "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_7_add", 0, 0, {}]]]}, {"name": "block_8_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_8_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_8_expand", 0, 0, {}]]]}, {"name": "block_8_expand_relu", "class_name": "ReLU", "config": {"name": "block_8_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_8_expand_BN", 0, 0, {}]]]}, {"name": "block_8_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_8_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_8_expand_relu", 0, 0, {}]]]}, {"name": "block_8_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_8_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_8_depthwise", 0, 0, {}]]]}, {"name": "block_8_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_8_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_8_depthwise_BN", 0, 0, {}]]]}, {"name": "block_8_project", "class_name": "Conv2D", "config": {"name": "block_8_project", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_8_depthwise_relu", 0, 0, {}]]]}, {"name": "block_8_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_8_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_8_project", 0, 0, {}]]]}, {"name": "block_8_add", "class_name": "Add", "config": {"name": "block_8_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_7_add", 0, 0, {}], ["block_8_project_BN", 0, 0, {}]]]}, {"name": "block_9_expand", "class_name": "Conv2D", "config": {"name": "block_9_expand", "trainable": true, "dtype": "float32", "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_8_add", 0, 0, {}]]]}, {"name": "block_9_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_9_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_9_expand", 0, 0, {}]]]}, {"name": "block_9_expand_relu", "class_name": "ReLU", "config": {"name": "block_9_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_9_expand_BN", 0, 0, {}]]]}, {"name": "block_9_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_9_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_9_expand_relu", 0, 0, {}]]]}, {"name": "block_9_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_9_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_9_depthwise", 0, 0, {}]]]}, {"name": "block_9_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_9_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_9_depthwise_BN", 0, 0, {}]]]}, {"name": "block_9_project", "class_name": "Conv2D", "config": {"name": "block_9_project", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_9_depthwise_relu", 0, 0, {}]]]}, {"name": "block_9_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_9_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_9_project", 0, 0, {}]]]}, {"name": "block_9_add", "class_name": "Add", "config": {"name": "block_9_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_8_add", 0, 0, {}], ["block_9_project_BN", 0, 0, {}]]]}, {"name": "block_10_expand", "class_name": "Conv2D", "config": {"name": "block_10_expand", "trainable": true, "dtype": "float32", "filters": 192, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_9_add", 0, 0, {}]]]}, {"name": "block_10_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_10_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_10_expand", 0, 0, {}]]]}, {"name": "block_10_expand_relu", "class_name": "ReLU", "config": {"name": "block_10_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_10_expand_BN", 0, 0, {}]]]}, {"name": "block_10_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_10_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_10_expand_relu", 0, 0, {}]]]}, {"name": "block_10_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_10_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_10_depthwise", 0, 0, {}]]]}, {"name": "block_10_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_10_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_10_depthwise_BN", 0, 0, {}]]]}, {"name": "block_10_project", "class_name": "Conv2D", "config": {"name": "block_10_project", "trainable": true, "dtype": "float32", "filters": 48, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_10_depthwise_relu", 0, 0, {}]]]}, {"name": "block_10_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_10_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_10_project", 0, 0, {}]]]}, {"name": "block_11_expand", "class_name": "Conv2D", "config": {"name": "block_11_expand", "trainable": true, "dtype": "float32", "filters": 288, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_10_project_BN", 0, 0, {}]]]}, {"name": "block_11_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_11_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_11_expand", 0, 0, {}]]]}, {"name": "block_11_expand_relu", "class_name": "ReLU", "config": {"name": "block_11_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_11_expand_BN", 0, 0, {}]]]}, {"name": "block_11_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_11_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_11_expand_relu", 0, 0, {}]]]}, {"name": "block_11_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_11_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_11_depthwise", 0, 0, {}]]]}, {"name": "block_11_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_11_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_11_depthwise_BN", 0, 0, {}]]]}, {"name": "block_11_project", "class_name": "Conv2D", "config": {"name": "block_11_project", "trainable": true, "dtype": "float32", "filters": 48, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_11_depthwise_relu", 0, 0, {}]]]}, {"name": "block_11_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_11_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_11_project", 0, 0, {}]]]}, {"name": "block_11_add", "class_name": "Add", "config": {"name": "block_11_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_10_project_BN", 0, 0, {}], ["block_11_project_BN", 0, 0, {}]]]}, {"name": "block_12_expand", "class_name": "Conv2D", "config": {"name": "block_12_expand", "trainable": true, "dtype": "float32", "filters": 288, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_11_add", 0, 0, {}]]]}, {"name": "block_12_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_12_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_12_expand", 0, 0, {}]]]}, {"name": "block_12_expand_relu", "class_name": "ReLU", "config": {"name": "block_12_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_12_expand_BN", 0, 0, {}]]]}, {"name": "block_12_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_12_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_12_expand_relu", 0, 0, {}]]]}, {"name": "block_12_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_12_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_12_depthwise", 0, 0, {}]]]}, {"name": "block_12_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_12_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_12_depthwise_BN", 0, 0, {}]]]}, {"name": "block_12_project", "class_name": "Conv2D", "config": {"name": "block_12_project", "trainable": true, "dtype": "float32", "filters": 48, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_12_depthwise_relu", 0, 0, {}]]]}, {"name": "block_12_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_12_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_12_project", 0, 0, {}]]]}, {"name": "block_12_add", "class_name": "Add", "config": {"name": "block_12_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_11_add", 0, 0, {}], ["block_12_project_BN", 0, 0, {}]]]}, {"name": "block_13_expand", "class_name": "Conv2D", "config": {"name": "block_13_expand", "trainable": true, "dtype": "float32", "filters": 288, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_12_add", 0, 0, {}]]]}, {"name": "block_13_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_13_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_13_expand", 0, 0, {}]]]}, {"name": "block_13_expand_relu", "class_name": "ReLU", "config": {"name": "block_13_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_13_expand_BN", 0, 0, {}]]]}, {"name": "block_13_pad", "class_name": "ZeroPadding2D", "config": {"name": "block_13_pad", "trainable": true, "dtype": "float32", "padding": [[0, 1], [0, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["block_13_expand_relu", 0, 0, {}]]]}, {"name": "block_13_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_13_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_13_pad", 0, 0, {}]]]}, {"name": "block_13_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_13_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_13_depthwise", 0, 0, {}]]]}, {"name": "block_13_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_13_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_13_depthwise_BN", 0, 0, {}]]]}, {"name": "block_13_project", "class_name": "Conv2D", "config": {"name": "block_13_project", "trainable": true, "dtype": "float32", "filters": 80, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_13_depthwise_relu", 0, 0, {}]]]}, {"name": "block_13_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_13_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_13_project", 0, 0, {}]]]}, {"name": "block_14_expand", "class_name": "Conv2D", "config": {"name": "block_14_expand", "trainable": true, "dtype": "float32", "filters": 480, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_13_project_BN", 0, 0, {}]]]}, {"name": "block_14_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_14_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_14_expand", 0, 0, {}]]]}, {"name": "block_14_expand_relu", "class_name": "ReLU", "config": {"name": "block_14_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_14_expand_BN", 0, 0, {}]]]}, {"name": "block_14_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_14_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_14_expand_relu", 0, 0, {}]]]}, {"name": "block_14_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_14_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_14_depthwise", 0, 0, {}]]]}, {"name": "block_14_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_14_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_14_depthwise_BN", 0, 0, {}]]]}, {"name": "block_14_project", "class_name": "Conv2D", "config": {"name": "block_14_project", "trainable": true, "dtype": "float32", "filters": 80, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_14_depthwise_relu", 0, 0, {}]]]}, {"name": "block_14_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_14_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_14_project", 0, 0, {}]]]}, {"name": "block_14_add", "class_name": "Add", "config": {"name": "block_14_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_13_project_BN", 0, 0, {}], ["block_14_project_BN", 0, 0, {}]]]}, {"name": "block_15_expand", "class_name": "Conv2D", "config": {"name": "block_15_expand", "trainable": true, "dtype": "float32", "filters": 480, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_14_add", 0, 0, {}]]]}, {"name": "block_15_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_15_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_15_expand", 0, 0, {}]]]}, {"name": "block_15_expand_relu", "class_name": "ReLU", "config": {"name": "block_15_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_15_expand_BN", 0, 0, {}]]]}, {"name": "block_15_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_15_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_15_expand_relu", 0, 0, {}]]]}, {"name": "block_15_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_15_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_15_depthwise", 0, 0, {}]]]}, {"name": "block_15_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_15_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_15_depthwise_BN", 0, 0, {}]]]}, {"name": "block_15_project", "class_name": "Conv2D", "config": {"name": "block_15_project", "trainable": true, "dtype": "float32", "filters": 80, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_15_depthwise_relu", 0, 0, {}]]]}, {"name": "block_15_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_15_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_15_project", 0, 0, {}]]]}, {"name": "block_15_add", "class_name": "Add", "config": {"name": "block_15_add", "trainable": true, "dtype": "float32"}, "inbound_nodes": [[["block_14_add", 0, 0, {}], ["block_15_project_BN", 0, 0, {}]]]}, {"name": "block_16_expand", "class_name": "Conv2D", "config": {"name": "block_16_expand", "trainable": true, "dtype": "float32", "filters": 480, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_15_add", 0, 0, {}]]]}, {"name": "block_16_expand_BN", "class_name": "BatchNormalization", "config": {"name": "block_16_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_16_expand", 0, 0, {}]]]}, {"name": "block_16_expand_relu", "class_name": "ReLU", "config": {"name": "block_16_expand_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_16_expand_BN", 0, 0, {}]]]}, {"name": "block_16_depthwise", "class_name": "DepthwiseConv2D", "config": {"name": "block_16_depthwise", "trainable": true, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "bias_regularizer": null, "activity_regularizer": null, "bias_constraint": null, "depth_multiplier": 1, "depthwise_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "depthwise_regularizer": null, "depthwise_constraint": null}, "inbound_nodes": [[["block_16_expand_relu", 0, 0, {}]]]}, {"name": "block_16_depthwise_BN", "class_name": "BatchNormalization", "config": {"name": "block_16_depthwise_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_16_depthwise", 0, 0, {}]]]}, {"name": "block_16_depthwise_relu", "class_name": "ReLU", "config": {"name": "block_16_depthwise_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["block_16_depthwise_BN", 0, 0, {}]]]}, {"name": "block_16_project", "class_name": "Conv2D", "config": {"name": "block_16_project", "trainable": true, "dtype": "float32", "filters": 160, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_16_depthwise_relu", 0, 0, {}]]]}, {"name": "block_16_project_BN", "class_name": "BatchNormalization", "config": {"name": "block_16_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["block_16_project", 0, 0, {}]]]}, {"name": "Conv_1", "class_name": "Conv2D", "config": {"name": "Conv_1", "trainable": true, "dtype": "float32", "filters": 1280, "kernel_size": [1, 1], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block_16_project_BN", 0, 0, {}]]]}, {"name": "Conv_1_bn", "class_name": "BatchNormalization", "config": {"name": "Conv_1_bn", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["Conv_1", 0, 0, {}]]]}, {"name": "out_relu", "class_name": "ReLU", "config": {"name": "out_relu", "trainable": true, "dtype": "float32", "max_value": 6, "negative_slope": {"type": "ndarray", "value": 0.0}, "threshold": {"type": "ndarray", "value": 0.0}}, "inbound_nodes": [[["Conv_1_bn", 0, 0, {}]]]}, {"name": "global_max_pooling2d", "class_name": "GlobalMaxPooling2D", "config": {"name": "global_max_pooling2d", "trainable": true, "dtype": "float32", "data_format": "channels_last"}, "inbound_nodes": [[["out_relu", 0, 0, {}]]]}, {"name": "dense", "class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 128, "activation": "softmax", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": 1337, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["global_max_pooling2d", 0, 0, {}]]]}], "input_layers": [["input_1", 0, 0]], "output_layers": [["dense", 0, 0]]}}}, "weightsManifest": [{"paths": ["group1-shard1of1"], "weights": [{"name": "Conv1/kernel", "shape": [3, 3, 3, 16], "dtype": "float32"}, {"name": "Conv_1/kernel", "shape": [1, 1, 160, 1280], "dtype": "float32"}, {"name": "Conv_1_bn/gamma", "shape": [1280], "dtype": "float32"}, {"name": "Conv_1_bn/beta", "shape": [1280], "dtype": "float32"}, {"name": "Conv_1_bn/moving_mean", "shape": [1280], "dtype": "float32"}, {"name": "Conv_1_bn/moving_variance", "shape": [1280], "dtype": "float32"}, {"name": "block_10_depthwise/depthwise_kernel", "shape": [3, 3, 192, 1], "dtype": "float32"}, {"name": "block_10_depthwise_BN/gamma", "shape": [192], "dtype": "float32"}, {"name": "block_10_depthwise_BN/beta", "shape": [192], "dtype": "float32"}, {"name": "block_10_depthwise_BN/moving_mean", "shape": [192], "dtype": "float32"}, {"name": "block_10_depthwise_BN/moving_variance", "shape": [192], "dtype": "float32"}, {"name": "block_10_expand/kernel", "shape": [1, 1, 32, 192], "dtype": "float32"}, {"name": "block_10_expand_BN/gamma", "shape": [192], "dtype": "float32"}, {"name": "block_10_expand_BN/beta", "shape": [192], "dtype": "float32"}, {"name": "block_10_expand_BN/moving_mean", "shape": [192], "dtype": "float32"}, {"name": "block_10_expand_BN/moving_variance", "shape": [192], "dtype": "float32"}, {"name": "block_10_project/kernel", "shape": [1, 1, 192, 48], "dtype": "float32"}, {"name": "block_10_project_BN/gamma", "shape": [48], "dtype": "float32"}, {"name": "block_10_project_BN/beta", "shape": [48], "dtype": "float32"}, {"name": "block_10_project_BN/moving_mean", "shape": [48], "dtype": "float32"}, {"name": "block_10_project_BN/moving_variance", "shape": [48], "dtype": "float32"}, {"name": "block_11_depthwise/depthwise_kernel", "shape": [3, 3, 288, 1], "dtype": "float32"}, {"name": "block_11_depthwise_BN/gamma", "shape": [288], "dtype": "float32"}, {"name": "block_11_depthwise_BN/beta", "shape": [288], "dtype": "float32"}, {"name": "block_11_depthwise_BN/moving_mean", "shape": [288], "dtype": "float32"}, {"name": "block_11_depthwise_BN/moving_variance", "shape": [288], "dtype": "float32"}, {"name": "block_11_expand/kernel", "shape": [1, 1, 48, 288], "dtype": "float32"}, {"name": "block_11_expand_BN/gamma", "shape": [288], "dtype": "float32"}, {"name": "block_11_expand_BN/beta", "shape": [288], "dtype": "float32"}, {"name": "block_11_expand_BN/moving_mean", "shape": [288], "dtype": "float32"}, {"name": "block_11_expand_BN/moving_variance", "shape": [288], "dtype": "float32"}, {"name": "block_11_project/kernel", "shape": [1, 1, 288, 48], "dtype": "float32"}, {"name": "block_11_project_BN/gamma", "shape": [48], "dtype": "float32"}, {"name": "block_11_project_BN/beta", "shape": [48], "dtype": "float32"}, {"name": "block_11_project_BN/moving_mean", "shape": [48], "dtype": "float32"}, {"name": "block_11_project_BN/moving_variance", "shape": [48], "dtype": "float32"}, {"name": "block_12_depthwise/depthwise_kernel", "shape": [3, 3, 288, 1], "dtype": "float32"}, {"name": "block_12_depthwise_BN/gamma", "shape": [288], "dtype": "float32"}, {"name": "block_12_depthwise_BN/beta", "shape": [288], "dtype": "float32"}, {"name": "block_12_depthwise_BN/moving_mean", "shape": [288], "dtype": "float32"}, {"name": "block_12_depthwise_BN/moving_variance", "shape": [288], "dtype": "float32"}, {"name": "block_12_expand/kernel", "shape": [1, 1, 48, 288], "dtype": "float32"}, {"name": "block_12_expand_BN/gamma", "shape": [288], "dtype": "float32"}, {"name": "block_12_expand_BN/beta", "shape": [288], "dtype": "float32"}, {"name": "block_12_expand_BN/moving_mean", "shape": [288], "dtype": "float32"}, {"name": "block_12_expand_BN/moving_variance", "shape": [288], "dtype": "float32"}, {"name": "block_12_project/kernel", "shape": [1, 1, 288, 48], "dtype": "float32"}, {"name": "block_12_project_BN/gamma", "shape": [48], "dtype": "float32"}, {"name": "block_12_project_BN/beta", "shape": [48], "dtype": "float32"}, {"name": "block_12_project_BN/moving_mean", "shape": [48], "dtype": "float32"}, {"name": "block_12_project_BN/moving_variance", "shape": [48], "dtype": "float32"}, {"name": "block_13_depthwise/depthwise_kernel", "shape": [3, 3, 288, 1], "dtype": "float32"}, {"name": "block_13_depthwise_BN/gamma", "shape": [288], "dtype": "float32"}, {"name": "block_13_depthwise_BN/beta", "shape": [288], "dtype": "float32"}, {"name": "block_13_depthwise_BN/moving_mean", "shape": [288], "dtype": "float32"}, {"name": "block_13_depthwise_BN/moving_variance", "shape": [288], "dtype": "float32"}, {"name": "block_13_expand/kernel", "shape": [1, 1, 48, 288], "dtype": "float32"}, {"name": "block_13_expand_BN/gamma", "shape": [288], "dtype": "float32"}, {"name": "block_13_expand_BN/beta", "shape": [288], "dtype": "float32"}, {"name": "block_13_expand_BN/moving_mean", "shape": [288], "dtype": "float32"}, {"name": "block_13_expand_BN/moving_variance", "shape": [288], "dtype": "float32"}, {"name": "block_13_project/kernel", "shape": [1, 1, 288, 80], "dtype": "float32"}, {"name": "block_13_project_BN/gamma", "shape": [80], "dtype": "float32"}, {"name": "block_13_project_BN/beta", "shape": [80], "dtype": "float32"}, {"name": "block_13_project_BN/moving_mean", "shape": [80], "dtype": "float32"}, {"name": "block_13_project_BN/moving_variance", "shape": [80], "dtype": "float32"}, {"name": "block_14_depthwise/depthwise_kernel", "shape": [3, 3, 480, 1], "dtype": "float32"}, {"name": "block_14_depthwise_BN/gamma", "shape": [480], "dtype": "float32"}, {"name": "block_14_depthwise_BN/beta", "shape": [480], "dtype": "float32"}, {"name": "block_14_depthwise_BN/moving_mean", "shape": [480], "dtype": "float32"}, {"name": "block_14_depthwise_BN/moving_variance", "shape": [480], "dtype": "float32"}, {"name": "block_14_expand/kernel", "shape": [1, 1, 80, 480], "dtype": "float32"}, {"name": "block_14_expand_BN/gamma", "shape": [480], "dtype": "float32"}, {"name": "block_14_expand_BN/beta", "shape": [480], "dtype": "float32"}, {"name": "block_14_expand_BN/moving_mean", "shape": [480], "dtype": "float32"}, {"name": "block_14_expand_BN/moving_variance", "shape": [480], "dtype": "float32"}, {"name": "block_14_project/kernel", "shape": [1, 1, 480, 80], "dtype": "float32"}, {"name": "block_14_project_BN/gamma", "shape": [80], "dtype": "float32"}, {"name": "block_14_project_BN/beta", "shape": [80], "dtype": "float32"}, {"name": "block_14_project_BN/moving_mean", "shape": [80], "dtype": "float32"}, {"name": "block_14_project_BN/moving_variance", "shape": [80], "dtype": "float32"}, {"name": "block_15_depthwise/depthwise_kernel", "shape": [3, 3, 480, 1], "dtype": "float32"}, {"name": "block_15_depthwise_BN/gamma", "shape": [480], "dtype": "float32"}, {"name": "block_15_depthwise_BN/beta", "shape": [480], "dtype": "float32"}, {"name": "block_15_depthwise_BN/moving_mean", "shape": [480], "dtype": "float32"}, {"name": "block_15_depthwise_BN/moving_variance", "shape": [480], "dtype": "float32"}, {"name": "block_15_expand/kernel", "shape": [1, 1, 80, 480], "dtype": "float32"}, {"name": "block_15_expand_BN/gamma", "shape": [480], "dtype": "float32"}, {"name": "block_15_expand_BN/beta", "shape": [480], "dtype": "float32"}, {"name": "block_15_expand_BN/moving_mean", "shape": [480], "dtype": "float32"}, {"name": "block_15_expand_BN/moving_variance", "shape": [480], "dtype": "float32"}, {"name": "block_15_project/kernel", "shape": [1, 1, 480, 80], "dtype": "float32"}, {"name": "block_15_project_BN/gamma", "shape": [80], "dtype": "float32"}, {"name": "block_15_project_BN/beta", "shape": [80], "dtype": "float32"}, {"name": "block_15_project_BN/moving_mean", "shape": [80], "dtype": "float32"}, {"name": "block_15_project_BN/moving_variance", "shape": [80], "dtype": "float32"}, {"name": "block_16_depthwise/depthwise_kernel", "shape": [3, 3, 480, 1], "dtype": "float32"}, {"name": "block_16_depthwise_BN/gamma", "shape": [480], "dtype": "float32"}, {"name": "block_16_depthwise_BN/beta", "shape": [480], "dtype": "float32"}, {"name": "block_16_depthwise_BN/moving_mean", "shape": [480], "dtype": "float32"}, {"name": "block_16_depthwise_BN/moving_variance", "shape": [480], "dtype": "float32"}, {"name": "block_16_expand/kernel", "shape": [1, 1, 80, 480], "dtype": "float32"}, {"name": "block_16_expand_BN/gamma", "shape": [480], "dtype": "float32"}, {"name": "block_16_expand_BN/beta", "shape": [480], "dtype": "float32"}, {"name": "block_16_expand_BN/moving_mean", "shape": [480], "dtype": "float32"}, {"name": "block_16_expand_BN/moving_variance", "shape": [480], "dtype": "float32"}, {"name": "block_16_project/kernel", "shape": [1, 1, 480, 160], "dtype": "float32"}, {"name": "block_16_project_BN/gamma", "shape": [160], "dtype": "float32"}, {"name": "block_16_project_BN/beta", "shape": [160], "dtype": "float32"}, {"name": "block_16_project_BN/moving_mean", "shape": [160], "dtype": "float32"}, {"name": "block_16_project_BN/moving_variance", "shape": [160], "dtype": "float32"}, {"name": "block_1_depthwise/depthwise_kernel", "shape": [3, 3, 48, 1], "dtype": "float32"}, {"name": "block_1_depthwise_BN/gamma", "shape": [48], "dtype": "float32"}, {"name": "block_1_depthwise_BN/beta", "shape": [48], "dtype": "float32"}, {"name": "block_1_depthwise_BN/moving_mean", "shape": [48], "dtype": "float32"}, {"name": "block_1_depthwise_BN/moving_variance", "shape": [48], "dtype": "float32"}, {"name": "block_1_expand/kernel", "shape": [1, 1, 8, 48], "dtype": "float32"}, {"name": "block_1_expand_BN/gamma", "shape": [48], "dtype": "float32"}, {"name": "block_1_expand_BN/beta", "shape": [48], "dtype": "float32"}, {"name": "block_1_expand_BN/moving_mean", "shape": [48], "dtype": "float32"}, {"name": "block_1_expand_BN/moving_variance", "shape": [48], "dtype": "float32"}, {"name": "block_1_project/kernel", "shape": [1, 1, 48, 16], "dtype": "float32"}, {"name": "block_1_project_BN/gamma", "shape": [16], "dtype": "float32"}, {"name": "block_1_project_BN/beta", "shape": [16], "dtype": "float32"}, {"name": "block_1_project_BN/moving_mean", "shape": [16], "dtype": "float32"}, {"name": "block_1_project_BN/moving_variance", "shape": [16], "dtype": "float32"}, {"name": "block_2_depthwise/depthwise_kernel", "shape": [3, 3, 96, 1], "dtype": "float32"}, {"name": "block_2_depthwise_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_2_depthwise_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_2_depthwise_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_2_depthwise_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_2_expand/kernel", "shape": [1, 1, 16, 96], "dtype": "float32"}, {"name": "block_2_expand_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_2_expand_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_2_expand_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_2_expand_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_2_project/kernel", "shape": [1, 1, 96, 16], "dtype": "float32"}, {"name": "block_2_project_BN/gamma", "shape": [16], "dtype": "float32"}, {"name": "block_2_project_BN/beta", "shape": [16], "dtype": "float32"}, {"name": "block_2_project_BN/moving_mean", "shape": [16], "dtype": "float32"}, {"name": "block_2_project_BN/moving_variance", "shape": [16], "dtype": "float32"}, {"name": "block_3_depthwise/depthwise_kernel", "shape": [3, 3, 96, 1], "dtype": "float32"}, {"name": "block_3_depthwise_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_3_depthwise_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_3_depthwise_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_3_depthwise_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_3_expand/kernel", "shape": [1, 1, 16, 96], "dtype": "float32"}, {"name": "block_3_expand_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_3_expand_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_3_expand_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_3_expand_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_3_project/kernel", "shape": [1, 1, 96, 16], "dtype": "float32"}, {"name": "block_3_project_BN/gamma", "shape": [16], "dtype": "float32"}, {"name": "block_3_project_BN/beta", "shape": [16], "dtype": "float32"}, {"name": "block_3_project_BN/moving_mean", "shape": [16], "dtype": "float32"}, {"name": "block_3_project_BN/moving_variance", "shape": [16], "dtype": "float32"}, {"name": "block_4_depthwise/depthwise_kernel", "shape": [3, 3, 96, 1], "dtype": "float32"}, {"name": "block_4_depthwise_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_4_depthwise_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_4_depthwise_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_4_depthwise_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_4_expand/kernel", "shape": [1, 1, 16, 96], "dtype": "float32"}, {"name": "block_4_expand_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_4_expand_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_4_expand_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_4_expand_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_4_project/kernel", "shape": [1, 1, 96, 16], "dtype": "float32"}, {"name": "block_4_project_BN/gamma", "shape": [16], "dtype": "float32"}, {"name": "block_4_project_BN/beta", "shape": [16], "dtype": "float32"}, {"name": "block_4_project_BN/moving_mean", "shape": [16], "dtype": "float32"}, {"name": "block_4_project_BN/moving_variance", "shape": [16], "dtype": "float32"}, {"name": "block_5_depthwise/depthwise_kernel", "shape": [3, 3, 96, 1], "dtype": "float32"}, {"name": "block_5_depthwise_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_5_depthwise_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_5_depthwise_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_5_depthwise_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_5_expand/kernel", "shape": [1, 1, 16, 96], "dtype": "float32"}, {"name": "block_5_expand_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_5_expand_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_5_expand_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_5_expand_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_5_project/kernel", "shape": [1, 1, 96, 16], "dtype": "float32"}, {"name": "block_5_project_BN/gamma", "shape": [16], "dtype": "float32"}, {"name": "block_5_project_BN/beta", "shape": [16], "dtype": "float32"}, {"name": "block_5_project_BN/moving_mean", "shape": [16], "dtype": "float32"}, {"name": "block_5_project_BN/moving_variance", "shape": [16], "dtype": "float32"}, {"name": "block_6_depthwise/depthwise_kernel", "shape": [3, 3, 96, 1], "dtype": "float32"}, {"name": "block_6_depthwise_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_6_depthwise_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_6_depthwise_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_6_depthwise_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_6_expand/kernel", "shape": [1, 1, 16, 96], "dtype": "float32"}, {"name": "block_6_expand_BN/gamma", "shape": [96], "dtype": "float32"}, {"name": "block_6_expand_BN/beta", "shape": [96], "dtype": "float32"}, {"name": "block_6_expand_BN/moving_mean", "shape": [96], "dtype": "float32"}, {"name": "block_6_expand_BN/moving_variance", "shape": [96], "dtype": "float32"}, {"name": "block_6_project/kernel", "shape": [1, 1, 96, 32], "dtype": "float32"}, {"name": "block_6_project_BN/gamma", "shape": [32], "dtype": "float32"}, {"name": "block_6_project_BN/beta", "shape": [32], "dtype": "float32"}, {"name": "block_6_project_BN/moving_mean", "shape": [32], "dtype": "float32"}, {"name": "block_6_project_BN/moving_variance", "shape": [32], "dtype": "float32"}, {"name": "block_7_depthwise/depthwise_kernel", "shape": [3, 3, 192, 1], "dtype": "float32"}, {"name": "block_7_depthwise_BN/gamma", "shape": [192], "dtype": "float32"}, {"name": "block_7_depthwise_BN/beta", "shape": [192], "dtype": "float32"}, {"name": "block_7_depthwise_BN/moving_mean", "shape": [192], "dtype": "float32"}, {"name": "block_7_depthwise_BN/moving_variance", "shape": [192], "dtype": "float32"}, {"name": "block_7_expand/kernel", "shape": [1, 1, 32, 192], "dtype": "float32"}, {"name": "block_7_expand_BN/gamma", "shape": [192], "dtype": "float32"}, {"name": "block_7_expand_BN/beta", "shape": [192], "dtype": "float32"}, {"name": "block_7_expand_BN/moving_mean", "shape": [192], "dtype": "float32"}, {"name": "block_7_expand_BN/moving_variance", "shape": [192], "dtype": "float32"}, {"name": "block_7_project/kernel", "shape": [1, 1, 192, 32], "dtype": "float32"}, {"name": "block_7_project_BN/gamma", "shape": [32], "dtype": "float32"}, {"name": "block_7_project_BN/beta", "shape": [32], "dtype": "float32"}, {"name": "block_7_project_BN/moving_mean", "shape": [32], "dtype": "float32"}, {"name": "block_7_project_BN/moving_variance", "shape": [32], "dtype": "float32"}, {"name": "block_8_depthwise/depthwise_kernel", "shape": [3, 3, 192, 1], "dtype": "float32"}, {"name": "block_8_depthwise_BN/gamma", "shape": [192], "dtype": "float32"}, {"name": "block_8_depthwise_BN/beta", "shape": [192], "dtype": "float32"}, {"name": "block_8_depthwise_BN/moving_mean", "shape": [192], "dtype": "float32"}, {"name": "block_8_depthwise_BN/moving_variance", "shape": [192], "dtype": "float32"}, {"name": "block_8_expand/kernel", "shape": [1, 1, 32, 192], "dtype": "float32"}, {"name": "block_8_expand_BN/gamma", "shape": [192], "dtype": "float32"}, {"name": "block_8_expand_BN/beta", "shape": [192], "dtype": "float32"}, {"name": "block_8_expand_BN/moving_mean", "shape": [192], "dtype": "float32"}, {"name": "block_8_expand_BN/moving_variance", "shape": [192], "dtype": "float32"}, {"name": "block_8_project/kernel", "shape": [1, 1, 192, 32], "dtype": "float32"}, {"name": "block_8_project_BN/gamma", "shape": [32], "dtype": "float32"}, {"name": "block_8_project_BN/beta", "shape": [32], "dtype": "float32"}, {"name": "block_8_project_BN/moving_mean", "shape": [32], "dtype": "float32"}, {"name": "block_8_project_BN/moving_variance", "shape": [32], "dtype": "float32"}, {"name": "block_9_depthwise/depthwise_kernel", "shape": [3, 3, 192, 1], "dtype": "float32"}, {"name": "block_9_depthwise_BN/gamma", "shape": [192], "dtype": "float32"}, {"name": "block_9_depthwise_BN/beta", "shape": [192], "dtype": "float32"}, {"name": "block_9_depthwise_BN/moving_mean", "shape": [192], "dtype": "float32"}, {"name": "block_9_depthwise_BN/moving_variance", "shape": [192], "dtype": "float32"}, {"name": "block_9_expand/kernel", "shape": [1, 1, 32, 192], "dtype": "float32"}, {"name": "block_9_expand_BN/gamma", "shape": [192], "dtype": "float32"}, {"name": "block_9_expand_BN/beta", "shape": [192], "dtype": "float32"}, {"name": "block_9_expand_BN/moving_mean", "shape": [192], "dtype": "float32"}, {"name": "block_9_expand_BN/moving_variance", "shape": [192], "dtype": "float32"}, {"name": "block_9_project/kernel", "shape": [1, 1, 192, 32], "dtype": "float32"}, {"name": "block_9_project_BN/gamma", "shape": [32], "dtype": "float32"}, {"name": "block_9_project_BN/beta", "shape": [32], "dtype": "float32"}, {"name": "block_9_project_BN/moving_mean", "shape": [32], "dtype": "float32"}, {"name": "block_9_project_BN/moving_variance", "shape": [32], "dtype": "float32"}, {"name": "bn_Conv1/gamma", "shape": [16], "dtype": "float32"}, {"name": "bn_Conv1/beta", "shape": [16], "dtype": "float32"}, {"name": "bn_Conv1/moving_mean", "shape": [16], "dtype": "float32"}, {"name": "bn_Conv1/moving_variance", "shape": [16], "dtype": "float32"}, {"name": "dense/kernel", "shape": [1280, 128], "dtype": "float32"}, {"name": "dense/bias", "shape": [128], "dtype": "float32"}, {"name": "expanded_conv_depthwise/depthwise_kernel", "shape": [3, 3, 16, 1], "dtype": "float32"}, {"name": "expanded_conv_depthwise_BN/gamma", "shape": [16], "dtype": "float32"}, {"name": "expanded_conv_depthwise_BN/beta", "shape": [16], "dtype": "float32"}, {"name": "expanded_conv_depthwise_BN/moving_mean", "shape": [16], "dtype": "float32"}, {"name": "expanded_conv_depthwise_BN/moving_variance", "shape": [16], "dtype": "float32"}, {"name": "expanded_conv_project/kernel", "shape": [1, 1, 16, 8], "dtype": "float32"}, {"name": "expanded_conv_project_BN/gamma", "shape": [8], "dtype": "float32"}, {"name": "expanded_conv_project_BN/beta", "shape": [8], "dtype": "float32"}, {"name": "expanded_conv_project_BN/moving_mean", "shape": [8], "dtype": "float32"}, {"name": "expanded_conv_project_BN/moving_variance", "shape": [8], "dtype": "float32"}]}]}
\ No newline at end of file
diff --git a/projects/multiai/img_recognition/style.css b/projects/multiai/img_recognition/style.css
new file mode 100644
index 00000000..621ba352
--- /dev/null
+++ b/projects/multiai/img_recognition/style.css
@@ -0,0 +1,142 @@
+*,
+*:after,
+*:before {
+  margin: 0;
+  padding: 0;
+  box-sizing: border-box;
+  word-wrap: break-word;
+  -webkit-tap-highlight-color: transparent;
+}
+
+html,
+body {
+  min-height: 90vh;
+  margin: 10px;
+}
+
+html {
+  background-color: #FFF;
+  text-rendering: optimizeLegibility;
+  -webkit-text-size-adjust: 100%;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
+
+body {
+  color: #444;
+  background-attachment: fixed;
+  font-family: "Noto Sans", sans-serif;
+  font-weight: normal;
+  font-style: normal;
+}
+
+.container {
+  margin: auto;
+  padding: 25px 0;
+  max-width: 1025px;
+}
+
+h1, h2, p {
+  margin-bottom: 15px;
+}
+h1, h2 {
+  line-height: 1em;
+}
+.center {
+  text-align: center;
+}
+h2.subtitle {
+  font-size: inherit;
+  font-style: italic;
+  font-weight: normal;
+}
+a {
+  color: inherit;
+  text-decoration: none;
+}
+a:hover {
+  text-decoration: underline;
+}
+
+.swiper-container,
+.swiper-container * {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+}
+
+.swiper-container .swiper-no-swiping .swiper-button-prev,
+.swiper-container .swiper-no-swiping .swiper-button-next {
+  opacity: 0;
+}
+.swiper-button-next.swiper-button-disabled,
+.swiper-button-prev.swiper-button-disabled {
+  opacity: .1;
+}
+
+.product-gallery .product-photos-side,
+.product-gallery .product-photo-main {
+  position: relative;
+  width: 48%;
+}
+
+.tf-results {
+  position: relative;
+  height: 100%;
+  float: right;
+  width: 48%;
+  padding: 20px;
+}
+
+.product-gallery .product-photo-main {
+  margin-bottom: 30px;
+  float: left;
+  border-style: groove;
+  border-width: thin;
+}
+
+.product-gallery .product-photos-side .swiper-container {
+  height: 70px;
+  border-style: groove;
+  border-width: thin;
+}
+
+.product-gallery .product-photo-main .swiper-container {
+  height: 320px;
+}
+
+.product-gallery .product-photos-side .swiper-slide {
+  width: 70px;
+  opacity: .4;
+  transition: 225ms opacity ease-in-out;
+}
+
+.product-gallery .product-photos-side .swiper-slide.swiper-slide-active {
+  opacity: 1;
+}
+
+.product-gallery .swiper-container {
+  position: static;
+  width: 100%;
+}
+
+.product-gallery .swiper-slide {
+  cursor: pointer;
+  text-align: center;
+}
+
+.product-gallery img {
+  max-height: 100%;
+  max-width: 100%;
+}
+
+.product-photos-side .swiper-slide img {
+  max-height: 100%;
+  max-width: 100%;
+}
+
+@media (max-width: 1025px) {
+  .container {
+    padding: 0;
+  }
+}
\ No newline at end of file