Lecture 9: PyTorch Basics

(Last updated: Mar 13, 2023)

Warning

This lecture is replaced with self-study materials, and there is no physical or remote talk. This means that you do not need to come to the classroom (both physical and virtual).

Preparation

Go through this NumPy Tutorial to make sure that you understand the basics of operating matrices.

Materials

Follow the steps below to self-study PyTorch:

• Step 1: Spend 10 minutes to skim through this PyTorch tutorial notebook

• Step 2: Set up the notebook in Google Colab by clicking on the “Open in Colab” icon at the begining of the notebook

• Step 3: Watch the following two videos while working on the notebook mentioned in the previous step at the same time

  • Introduction to PyTorch (Part 1)

  • Introduction to PyTorch (Part 2)

• Step 4: Go through the notebook again to make sure that you understand the basics of PyTorch

Additional Resources

If you want to learn more about PyTorch, follow another tutorial below:

• Deep Learning with PyTorch: A 60 Minute Blitz