The first class will be January 5th. We will discuss the plan for the course and the pedagogical method chosen.

We briefly review some foundational material, covering linear algebra, calculus, and the basics of machine learning.

**Lecture 01 slides **(slides built mostly on Hugo Larochelle’s review slides)

The following material will also be covered, and questions on this material can optionally be posted below or brought-up in class (and posted afterwards, along with answers):

**Reference:**

- Chapters 1-5 of the Deep Learning textbook (by Ian Goodfellow, Yoshua Bengio and Aaron Courville).

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