The training process of GANs involves the following steps:
: For those preferring PyTorch over the book's native Keras/TensorFlow, a community-maintained PyTorch version exists. Guide to the Book & Code Structure gans in action pdf github
This book and code repository are ideal for software engineers, data scientists, and machine learning practitioners who have some experience with Python and neural networks and want to quickly learn GANs by building and experimenting. The training process of GANs involves the following
GANs in Action: Deep Learning with Generative Adversarial Networks gans in action pdf github