fastai 2019 notes (March - June 2019)

Deep Learning Part 2, 2019 edition - transcriptions, screenshots and notebooks. I know this is a separate repo, may migrate previous notebooks / notes to this eventually, but for now, will start as clean as possible. Thanks for stopping by!

Lesson 8 Notes:

• Intro
• On dev in jupyter notebooks
• Matrix Multiplication
• Relu, Forward Pass, Backward Pass, First Model

Lesson 9 Notes:

• Where did SQRT5 init come from in Conv2d?
• Why is good init needed?
• Mini-batch training
• Introduction to callbacks
• Callback design
• Using callbacks: Annealing