MIT 6.7960 — Lecture 1

Introduction to Deep Learning

I skipped this lecture; it seems to only cover logistical details, an overview of machine-learning architecture over time, and a review of how neural networks work.

Interestingly, all problem sets are graded by AI. Course website here.