In this blog post, I would like to share my notes as I go through the course. The course is based on the book Deep Learning for Coders with fastai and PyTorch. Since the course does not include all the chapters of the book, I organized the notes and resources gathered from this course based on the book layout. I will update this post as I create new material.
Course information:
Chapter 1 - Your Deep Learning Journey
- Lecture 1 - Getting started video
- Visual Notes
Chapter 2 - From Model to Production
- Lecture 2 - Deployment video
- Visual Notes
Chapter 3 - Data Ethics
Lecture 9 - Data Ethics
Chapter 4 - Under the Hood: Training a Digit Classifier
- Lecture 3 - Neural net foundations video
- Questionnaire solutions ch4 (pdf)