lexfridman/mit-deep-learning
A collection of Jupyter Notebook tutorials for MIT's deep learning and AI courses, covering neural networks, CNNs, semantic segmentation, and reinforcement learning.
Not currently ranked — collecting fresh signals.
star history
This repository contains course materials from MIT Deep Learning including tutorials, assignments, and competitions. The tutorials cover foundational deep learning topics such as feed-forward networks, convolutional neural networks, and semantic segmentation using state-of-the-art models like DeepLab for driving scene analysis. Materials are provided as Jupyter Notebooks with Google Colab compatibility.
Frequently asked
- What is lexfridman/mit-deep-learning?
- A collection of Jupyter Notebook tutorials for MIT's deep learning and AI courses, covering neural networks, CNNs, semantic segmentation, and reinforcement learning.
- Is mit-deep-learning open source?
- Yes — lexfridman/mit-deep-learning is open source, released under the MIT license.
- What language is mit-deep-learning written in?
- lexfridman/mit-deep-learning is primarily written in Jupyter Notebook.
- How popular is mit-deep-learning?
- lexfridman/mit-deep-learning has 10.4k stars on GitHub.
- Where can I find mit-deep-learning?
- lexfridman/mit-deep-learning is on GitHub at https://github.com/lexfridman/mit-deep-learning.