GENERATIVE DEEP LEARNING (READING & DISCUSSION)

Our Generative Deep Learning Sessions are dedicated to reading and discussing the book “Generative Deep Learning” by David Foster (O’Reilly). The first sessions will be held on Sunday, March 1, remaining sessions will be held weekly on Saturdays from 3-5PM (JST). All sessions are remote and accessible via zoom.

Session structure

● 1.5 silent reading もくもくかい
● 30 min discussion
● remote (zoom link TBA)

To get the most out of the sessions make sure to get the book, prepare for the session chapters and read a bit ahead if possible. That will serve as a good basis for an interactive and productive discussion.

Join us on Slack for discussions #generativedeeplearning
https://bit.ly/3caEu64

All sessions will be announced on the MLT Meetup.

Book Info

Book : Generative Deep Learning
Author : David Foster
Publication : O’Reilly

The book can be purchased e.g. on Amazon https://www.amazon.co.jp/Generative-Deep-Learning-Teaching-Machines/dp/1492041947

Part 1 – Introduction to Generative Deep Learning

📌 Session # 1 (59 pages)
Chapter 1 : Generative Modeling
Chapter 2 : Deep Learning

📌 Session #2 (34 pages)
Chapter 3 : Variational Autoencoders

📌 Session #3 (30 pages)
Chapter 4 : Generative Adversarial Networks

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

📌 Session #4 (31 pages)
Chapter 5 : Paint

📌 Session #5 (35 pages)
Chapter 6 : Write

📌 Session #6 (34 pages)
Chapter 7 : Compose

📌 Session #7 (34 pages)
Chapter 8 : Play

📌 Session #8 (30 pages)
Chapter 9 : The Future of Generative Modelling
Conclusion

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