The generator network

We have already explored the architecture of the generator network in The architecture of the generator network section. Let's start by writing the layers for the generator network in the Keras framework and then create a Keras model, using the functional API of the Keras framework.

Perform the following steps to implement the generator network in Keras:

  1. Start by defining the hyperparameters required for the generator network:
residual_blocks = 16momentum = 0.8input_shape = (64, 64, 3)
  1. Next, create an input layer to feed input to the network, as follows:
input_layer = Input(shape=input_shape)
The input layer takes an input image of a shape of (64, 64, 3) and passes it to the next layer in the network.
  1. Next, add ...

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