Lecture 2 โ€“ Backpropagation
Lecture Notes & HW Notebook
Lecture 2.2 โ€“ Coding in PyTorch & Linear Regression with Autograd
Lecture Notes & HW Notebook
๐Ÿ“š Resources & Homework

Recommended reading: Dive into Deep Learning โ€“ until end ofย Chapter 5 "Multilayer Perceptrons".

Homework 2 focuses on implementing neural network fundamentals, backpropagation, and exploring different activation functions. Complete the exercises in the provided notebook.