Skip to content

Latest commit

 

History

History
47 lines (32 loc) · 1.18 KB

README.md

File metadata and controls

47 lines (32 loc) · 1.18 KB
Raw

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.