| layout | title |
|---|---|
course_page |
Table of Contents |
0. Introduction | Slides | Notebook
Course content, a deliverable, and spam classification in PyTorch.
1. Basic linear Algebra in PyTorch | Slides | Notebook | Live Demo
Basic linear algebra operations in PyTorch.
2. Linear Regression: Direct Methods | Slides | Notebook
Direct methods for solving least squares problems, comparing LU and QR factorization.
3. Linear Regression: Gradient Descent | Slides | Notebook
Linear regression via gradient descent.
4. How to compute gradients in PyTorch | Slides | Notebook
Introduction to PyTorch's automatic differentiation system.
5. How to think about derivatives through best linear approximation
How to think about derivatives through best linear approximation.
6. Stochastic gradient descent: A first look
A first look at stochastic gradient descent through the mean estimation problem.