Information science Generating Deep Learning 2nd edition

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Information Science
From the basics to the application of Generative AI! A serious introduction to Generative AI. This book will start with the basics of deep learning and move on to state-of-the-art architectures that generate images, text, and music. Specifically, we will develop high-impact generative models with TensorFlow and Keras, including variational auto-encoder (VAE), adversarial generative network (GAN), transformer, normalized flow, energy-based models, GPT, and noise-free diffusion models. The audience is machine learning engineers and data scientists. Not only will you understand the Generative AI model, but through the tips and techniques in this book you will learn how to learn models more efficiently and how to create more creative models.