Generative Deep Learning

This repository contains notes from the MLT Generative Deep Learning sessions (reading & discussion), led by Anuragah Sinha.

Sessions

All sessions are dedicated to reading and discussing:
“Generative Deep Learning” by David Foster (O’Reilly)

Notes including images and other references:

• Title: Generative Deep Learning
• Author: David Foster
• Release date: June 2019
• Publisher(s): O’Reilly Media, Inc.
• ISBN: 9781492041931

Part 1 - Introduction to Generative Deep Learning

📌 Session # 1
Chapter 1 : Generative Modeling
Chapter 2 : Deep Learning

📌 Session #2
Chapter 3 : Variational Autoencoders

📌 Session #3
Chapter 4 : Generative Adversarial Networks

Part 2 - Teaching Machines to Paint, Write, Compose and Play

📌 Session #4
Chapter 5 : Paint

📌 Session #5
Chapter 6 : Write

📌 Session #6
Chapter 7 : Compose

📌 Session #7
Chapter 8 : Play

📌 Session #8
Chapter 9 : The Future of Generative Modelling
Conclusion

Sessions are ongoing and held online weekly on Saturdays 3-5 pm (JST). Join us on Meetup.