This hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code.
What is fastbook?
It is 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 a 2020 version of the very popular MOOC studied by hundreds of thousands of students, from all walks of life & all parts of the world - "Practical Deep Learning for Coders" by fast.ai!
What will I learn?
* 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 * Considerthe ethical implications of your work
Register for the next and all other fastbook sessions: