Generative_Deep_Learning_2nd_Edition
Delve into the second edition official codebase of O'Reilly's Generative Deep Learning book to discover methods for automating creative processes in machines. Learn about key models such as Variational Autoencoders and Generative Adversarial Networks and implement them using practical tutorials with Kaggle datasets and Docker. The guide features integration with Tensorboard for real-time monitoring and utilizes Keras resources, adaptable for local or cloud computing environments.
