Fastbook Sessions – Reading & Discussion #11

📌 Fastbook Reading & Discussion
📌 Session #11: Chapter 13

About:
This will be a 2-hour weekly study group dedicated to going through the book, "Deep Learning for Coders with fastai and PyTorch: AI applications Without a PhD" written by the creators of the fast.ai course. Our Fastbook Sessions are led by Sanyam Bhutani. https://twitter.com/bhutanisanyam1

The authors of the course were kind enough to make an early draft available as Jupyter Notebooks. We will be going through these in the format: https://github.com/fastai/fastbook

––– Session structure –––
● 1-hour silent reading もくもくかい
● 30 min discussion
● Join Zoom Meeting
https://zoom.us/j/98931549704

Note: To respect the license created by the authors, these sessions will not be recorded. Read the license here https://github.com/fastai/fastbook

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 #fastbook
https://bit.ly/3caEu64

●● Book Info ●●

Book: Deep Learning for Coders with fastai and PyTorch: AI applications Without a PhD
Author: Jeremy Howard and Sylvain Gugger
Publication: O'Reilly

The book can be pre-ordered from here: https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527

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