
Generative Deep Learning
Teaching Machines To Paint, Write, Compose, and Play
David Foster(Author)
O'Reilly (Publisher)
2nd Edition
Published on 12. May 2023
Book
Paperback/Softback
453 pages
978-1-0981-3418-1 (ISBN)
Description
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
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.
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
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.
More details
Edition
2nd New edition
Language
English
Place of publication
Sebastopol
United States
Edition type
New edition
Dimensions
Height: 230 mm
Width: 177 mm
Thickness: 22 mm
Weight
786 gr
ISBN-13
978-1-0981-3418-1 (9781098134181)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions


Previous edition

Book
07/2019
O'Reilly
€89.32
Article exhausted; check for reprint
Person
David Foster is a Founding Partner of ADSP, a consultancy delivering bespoke data science and AI solutions. He holds an MA in Mathematics from Trinity College, Cambridge and an MSc in Operational Research from the University of Warwick. Through ADSP, David leads the delivery of high-profile data science and AI projects across the public and private sectors. He has won several international machine-learning competitions, including the Innocentive Predicting Product Purchase challenge and for delivering a process to enable a pharmaceutical company in the US to optimize site selection for clinical trials. He is a member of the Machine Learning Institute Faculty and has given talks internationally on topics related to the application of cutting-edge data science and AI within industry and academia.