Generative deep learning: teaching machines to paint, write, compose, and play

By:

Foster, David

Publication details: Mumbai: O'Reilly Media & Shroff Publishers & Distributors, 2023.Edition: 2nd edDescription: xxvi, 426p.: pbk.: 24cmISBN:

9789355429988

Subject(s):

DDC classification:

006.31 FOS

Summary: 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 https://www.oreilly.com/library/view/generative-deep-learning/9781492041931/

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar	General	006 FOS (Browse shelf(Opens below))	1	Checked out	16/12/2024	033739

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Previous	005.8 MCC Hacking exposed 6: network security secrets & solutions	005.8 WIL Cybersecurity	006.31 GOO Deep learning	006 FOS Generative deep learning: teaching machines to paint, write, compose, and play	006.3 BAR Our final Invention : artificial intelligence and the end of the human era	006.3 BOR Moral AI: and how we get there	006.3 CAM AI by design: a plan for living with Artificial Intelligence	Next

Includes Index

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

https://www.oreilly.com/library/view/generative-deep-learning/9781492041931/

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