Hands-On Deep Learning Algorithms with Python

Defining the encoder

Now we define the encoder layer, which takes the images as an input and returns the encodings.

Define the size of the encodings:

encoding_dim = 32

Define the placeholders for the input:

input_image = Input(shape=(784,))

Define the encoder which takes input_image and returns the encodings:

encoder  = Dense(encoding_dim, activation='relu')(input_image)