Name: AI Book Club: Generative Deep Learning by David Foster | Week 4
Start: 2023-09-26T16:00:00-04:00
End: 2023-09-26T17:00:00-04:00

For this LinkedIn Audio event we'll be moving on to Part III of Generative Deep Learning by David Foster:

These chapters include:

\- 9 Transformers
\- 10 Advanced GANs
\- 11 Music Generation
\- 12 World Models

And any left over chapter from last section:

\- Variational Autoencoders
\- Generative Adversarial Networks
\- Autoregressive Models
\- Normalizing Flow Models
\- Energy Based Models
\- Diffusion Models

Feel free to join the discussion even if you have not read the book chapters! :)

Want to discuss the contents during the reading week? Join the Robust & Responsible AI Slack Group: [https://bit.ly/r2ai-slack](https://bit.ly/r2ai-slack)

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About the book of the Month (September):

Title: [Generative Deep Learning (2nd edition)](https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/)
Author: David Foster
Published: May 2023

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.

Find more information and purchase links on O'Reilly

[https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/](https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/)

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About the AI book Club: We choose a new book every month to read and try to discuss the contents every week.

Sage Elliott

Robust & Responsible AI - NY

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AI Book Club: Generative Deep Learning by David Foster | Week 4

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