Generative Adversarial Networks Projects

The discriminator network

The discriminator network is a CNN. Let's implement the discriminator network in the Keras framework.

Perform the following steps to implement the discriminator network:

1. Start by creating two input layers, as our discriminator network will process two inputs:

# Specify hyperparameters# Input image shapeinput_shape = (64, 64, 3)# Input conditioning variable shapelabel_shape = (6,)# Two input layersimage_input = Input(shape=input_shape)label_input = Input(shape=label_shape)

2. Next, add a 2-D convolution block (Conv2D + Activation function) with the following configuration:
   • Filters = 64
   • Kernel size: 3
   • Strides: 2
   • Padding: same
   • Activation: LeakyReLU with alpha equal to 0.2:

x = Conv2D(64, kernel_size=3, strides ...