Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.

Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative.

• Discover how variational autoencoders can change facial expressions in photos

• Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation

• Create recurrent generative models for text generation and learn how to improve the models using attention

• Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting

• Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

• We started tracking this book on July 9, 2019.
• This book was £46.07 when we started tracking it.
• The price of this book has changed 103 times in the past 1,751 days.
• The current price of this book is £32.65 last checked 11 months ago.
• This book is at its lowest price in the past year.
• The lowest price to date was £21.62 last reached on April 30, 2020.
• This book has been £21.62 one time since we started tracking it.
• The highest price to date was £53.19 last reached on July 18, 2019.
• This book has been £53.19 one time since we started tracking it.

• ComputingProgrammingPattern Recognition
• ComputingComputer ScienceMachine Theory
• ComputingComputer ScienceArtificial IntelligenceAI & Semantics

• Text-to-Speech: Enabled
• Lending: Disabled
• Print Length: 331 Pages
• File Size: 47,301 KB