Deep Learning 2019 Notes (March - June 2019)

Transcriptions, screenshots, and notebooks for the 2019 edition of Deep Learning Part 2. Originally provided by Skyworkin. All original notebooks / notes may be migrated here eventually. 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