In this section, we will implement the generator network and the discriminator network in the Keras framework. We need to create two Keras models. Both of the networks will have their own separate weights values. Let's start with the generator network.
A Keras implementation of a 3D-GAN
The generator network
To implement the generator network, we need to create a Keras model and add the neural network layers. The steps required to implement the generator network are as follows:
- Start by specifying the values for different hyperparameters:
z_size = 200
gen_filters = [512, 256, 128, 64, 1]
gen_kernel_sizes = [4, 4, 4, 4, 4]
gen_strides = [1, 2, 2, 2, 2]
gen_input_shape = (1, 1, 1, z_size)
gen_activations = ['relu&apos...