Generative Adversarial Networks Projects

Building and compiling the networks

In this section, we will build and compile our networks required for the training:

1. Start by defining the optimizers required for the training, as shown here:

# Define optimizersdis_optimizer = SGD(lr=dis_learning_rate, momentum=dis_momentum, nesterov=dis_nesterov)gen_optimizer = SGD(lr=gen_learning_rate, momentum=gen_momentum, nesterov=gen_nesterov)

2. Next, create an instance of the generator model, and compile the generator model (compiling will initialize the weights parameters, the optimizer algorithm, the loss function, and other essential steps required to use the network):

gen_model = build_generator()gen_model.compile(loss='binary_crossentropy', optimizer=gen_optimizer)

Use binary_crossentropy ...