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.
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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.