lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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README & documentation
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This repository is a collection of tutorials for MIT Deep Learning courses. More added as courses progress. This tutorial accompanies the lecture on Deep Learning Basics. It presents several concepts in deep learning, demonstrating the first two (feed forward and convolutional neural networks) and providing pointers to tutorials on the others. This is a good place to start. Links: \ [Jupyter Notebook \] \ [Google Colab \] \ [Blog Post \] \ [Lecture Video \] This tutorial demostrates semantic segmentation with a state-of-the-art model (DeepLab) on a sample video from the MIT Driving Scene Segmentation Dataset. Links: \ [Jupyter Notebook…
Read the full README ↗ · Preview checked 2026-10-28T02:25:48.601Z
Inside the original README — Document outline
- MIT Deep Learning
- Tutorial: Deep Learning Basics
- Tutorial: Driving Scene Segmentation
- Tutorial: Generative Adversarial Networks (GANs)
- DeepTraffic Deep Reinforcement Learning Competition
- Team
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What this repository does
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Repository facts
- Owner
- lexfridman
- Primary language
- Jupyter Notebook
- Stars
- 10,461
- Forks
- 2,195
- Open issues + pull requests
- 17
- License
- MIT
- Archived
- No
- Default branch
- master
- Created
- 2017-01-08T00:52:01.000Z
- Last push
- 2024-01-03T13:54:05.000Z
Topics and intended use
Owner-supplied topics: artificial-intelligence, data-science, deep-learning, deep-reinforcement-learning, deep-rl, deeplearning, jupyter-notebooks, machine-learning, mit, neural-networks, segmentation, self-driving-cars, tensorflow, tensorflow-tutorials
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Source: GitHub. Metadata observed 2026-11-01T13:20:54.848Z. Daily imports are snapshots, not real-time monitoring.
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