Description
Book Synopsis: Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to create impressive generative deep learning models from scratch using Tensorflow and Keras, 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, readers can make their 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 StyleGAN 2 and Vision Transformer VQ-GAN
- 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 for text-to-image generation
The 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.
Details
Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play
Are you ready to unlock the amazing power of generative AI? Look no further! Our groundbreaking book, Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play, is your ultimate guide to mastering this revolutionary technology.
With practical instructions and hands-on examples, this book is designed specifically for machine learning engineers and data scientists who want to create impressive generative deep learning models using popular frameworks like Tensorflow and Keras.
Learn how to unleash the creative potential of your models using cutting-edge techniques like variational autoencoders (VAEs), generative adversarial networks (GANs), and energy-based models. Find out how to teach your models to generate stunning images, change facial expressions in photos, compose polyphonic music, and even solve reinforcement learning tasks.
But that's not all! This book also covers the latest advancements in generative AI, including state-of-the-art architectures like StyleGAN 2 and Vision Transformer VQ-GAN. Discover how large language models like ChatGPT are trained and explore multimodal models like DALL.E 2, Imagen, and Stable Diffusion for text-to-image generation.
Don't miss out on the opportunity to stay ahead of the curve and gain a competitive advantage. The future of generative AI is here, and it's time to embrace it. Grab your copy of Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play today and unlock the limitless possibilities of this remarkable technology.
Click here to get your hands on this must-have book now!
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