Generative Adversarial Networks Projects

The adversarial network

In this section, we will create an adversarial network containing the U-Net generator network and the PatchGAN discriminator network. Perform the following steps to create an adversarial network:

1. Start by initializing the hyperparameters:

input_image_dim = (256, 256, 1)patch_dim = (256, 256)

2. Next, create an input layer to feed the input to the network, as follows:

input_layer = Input(shape=input_image_dim)

3. Next, use the generator network to generate a fake image:

generated_images = generator(input_layer)

4. Next, extract patches from the generated image:

# Chop the generated images into patchesimg_height, img_width = input_img_dim[:2]patch_height, patch_width = patch_dimrow_idx_list = [(i * patch_height, (i + ...