Predicted Vectors are:
[-0.06664543 0.03540059 -0.00320938 ..., 0.03019159 -0.08383787
0.09057866]
2017-10-16 09:44:21.008353: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GT 1030, pci bus id: 0000:01:00.0)
['dun', 'eagle', 'and', 'Altiplano', 'divers', 'eagle', 'Altiplano', 'pedestrian', 'reflecting', 'mushrooms', 'crackers', 'toilet', 'linesmen', 'vandalised', 'image', 'causing', 'text', 'tiredly', 'starfish', 'arm', 'engines', 'nuts', 'slats', 'nice', 'Futuristic', 'Lego', 'cups', 'blurred', 'bombs', 'swim']
I trained 10,000 times the model, but the prediction is not a true answer to the test image. For example, the above prediction is not a description of the image (./iaprtc12/images/00/25.jpg). Can tell you me how to actually reproduce your project, thank you!
Predicted Vectors are:
[-0.06664543 0.03540059 -0.00320938 ..., 0.03019159 -0.08383787
0.09057866]
2017-10-16 09:44:21.008353: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GT 1030, pci bus id: 0000:01:00.0)
['dun', 'eagle', 'and', 'Altiplano', 'divers', 'eagle', 'Altiplano', 'pedestrian', 'reflecting', 'mushrooms', 'crackers', 'toilet', 'linesmen', 'vandalised', 'image', 'causing', 'text', 'tiredly', 'starfish', 'arm', 'engines', 'nuts', 'slats', 'nice', 'Futuristic', 'Lego', 'cups', 'blurred', 'bombs', 'swim']
I trained 10,000 times the model, but the prediction is not a true answer to the test image. For example, the above prediction is not a description of the image (./iaprtc12/images/00/25.jpg). Can tell you me how to actually reproduce your project, thank you!