Gans In Action Pdf Github -

# Train the discriminator discriminator.trainable = True d_loss_real = discriminator.train_on_batch(real_image, tf.ones((1, 1))) d_loss_fake = discriminator.train_on_batch(synthetic_image, tf.zeros((1, 1)))

GANs are notoriously difficult to train, but failures are educational. GANs in Action provides the safety net of proven code, while the GitHub repository provides the lab bench. gans in action pdf github

: You can find code for specific models discussed in the book, such as: DCGAN : Deep Convolutional GANs for image generation. CGAN : Conditional GANs for targeted data generation. StyleGAN : Advanced high-resolution image synthesis. # Train the discriminator discriminator