"Generative AI is the hottest topic in tech. 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.
The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. You will discover how VAEs can change facial expressions in photos; train GANs to generate images based on your own dataset; build diffusion models to produce new varieties of flowers; train your own GPT for text generation; learn how large language models like ChatGPT are trained; explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN; compose polyphonic music using Transformers and MuseGAN; understand how generative world models can solve reinforcement learning tasks; and dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion.
This book 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."
"One of the most influential musical forces of our time, David Foster—producer, arranger, songwriter, performer—has worked with superstars every decade since the 1970s. In this compelling and outspoken memoir, Foster shares revealing portraits and stories from his over five decades of working with music superstars including Michael Bublé, Celine Dion, Natalie Cole, Josh Groban, Whitney Houston, Barbra Streisand, and many others. A solid gold hitman who produced the soundtrack of our lives, Foster offers rare glimpses of the musical icons at work and shares his secrets for success in the fickle music industry."
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