Welcome to the Fastbook Reading Session!
Over the next 20 weeks, we'll dive into this hands-on-guide to deep learning!
Created on May 26|Last edited on June 28
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We're excited to share that Jeremy Howard will join us for our FastBook reading session on June 2, 8pm PST / June 3, 1pm AEST!
What is FastBook?
It's a hands-on-guide for an introduction to deep learning written by Jeremy Howard and Sylvain Gugger. The first half of this book is also taught as 2020 version of the very popular MOOC studied by hundreds of thousands of students, from all walks of life, from all parts of the world - "Practical Deep Learning for Coders" by fast.ai!
📍Register here for June 2, 8pm PT / June 3, 1pm AEST!
Don't miss the weekly guided fastbook reading session for the next 20 weeks hosted by Aman Arora. We will also be joined by Zachary Mueller and Sanyam Bhutani, fastai alumnus who will be around to present guest lectures on their amazing fast.ai projects and answer all your fast.ai related questions!
As part of this book, you’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.
- Train models in computer vision, natural language processing, tabular data, and collaborative filtering
- Learn the latest deep learning techniques that matter most in practice
- Improve accuracy, speed, and reliability by understanding how deep learning models work
- Discover how to turn your models into web applications
- Implement deep learning algorithms from scratch
- Consider the ethical implications of your work
See you at the FastBook Reading Sessions!
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