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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.
• 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
• Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion
Thể loại:Computers - Artificial Intelligence (AI)
Năm:2023
In lần thứ:2nd
Nhà xuát bản:O’Reilly Media, Inc.
Ngôn ngữ:english
Trang:456