Exercise 1

[YerosanFeyissa]

Exercise 1¶
Use a Keras sequential model
The first layer is a dense layer with 256 units and a relu activation.
The second layer is a dense layer with 128 units and a relu activation.
The third layer is a dense layer with num_outputs units and a linear or no activation.
The remainder of the network will be provided. The provided code does not use the Keras sequential model but instead uses the Keras functional api. This format allows for more flexibility in how components are interconnected.

[chirayu08]

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense

def build_model(num_outputs):
model = Sequential([
Dense(256, activation='relu'),
Dense(128, activation='relu'),
Dense(num_outputs, activation='linear') # or activation=None
])

return model