Generative Adversarial Networks Projects

Training the SRGAN

Training the SRGAN network is a two-step process. In the first step, we train the discriminator network. In the second step, we train the adversarial network, which eventually trains the generator network. Let's start training the network.

Perform the following steps to train the SRGAN network:

1. Start by defining the hyperparameters required for the training:

# Define hyperparametersdata_dir = "Paht/to/the/dataset/img_align_celeba/*.*"epochs = 20000batch_size = 1# Shape of low-resolution and high-resolution imageslow_resolution_shape = (64, 64, 3)high_resolution_shape = (256, 256, 3)

2. Next, define the training optimizer. For all networks, we will use Adam optimizer with the learning rate equal to 0.0002 and beta_1 equal ...