Machine Learning, Data Science, Artificial Intelligence, Towards Data Science, Deep Learning.
you need to do to train a GAN. The training loop has to be executed manually: [1] Select R real images from the training set. [2] Generate F fake images by sampling random vectors of size N, and predicting images from them using the generator. [3] Train the discriminator using train_on_batch: call