#196 · Primary category: Education & Research

introtodeeplearning

computer-vision deep-learning deep-reinforcement-learning deeplearning jupyter-notebooks mit music-generation neural-networks pytorch pytorch-tutorial tensorflow tensorflow-tutorials

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Project last updated:01/04/26

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Why we included this project

Learning deep learning by writing code is easier with MIT's 6.S191 materials, and this repository is where the labs live. Each notebook pairs with a public lecture video and slides, so you can watch a topic explained and then try it in code in the same sitting. The labs move from the fundamentals into applied areas like computer vision, reinforcement learning, and music generation, with exercises you complete by filling in TODO cells. Since everything runs in Google Colab, the only setup is a browser and a Google account, no local install to fight. The self-paced structure suits independent study, and the progression is clean enough that a small team could work through it together to get up to speed on modern deep learning.

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