"This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), transformers, normalizing flows, energy-based models, and denoising diffusion models ... [and] also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage"--
