Generative Deep Learning #2

Book Reading & Discussion

Our Generative Deep Learning Sessions are dedicated to reading and discussing the book "Generative Deep Learning" by David Foster (O'Reilly). Sessions are led by Anugraha Sinha.

––– Session structure –––
● 1.5 silent reading もくもくかい
● 30 min discussion
● Join Zoom Meeting
https://zoom.us/j/275901440

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

●● 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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