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MITDeepLearning/introtodeeplearning

MIT 6.S191 course materials providing hands-on Jupyter notebook labs for learning deep learning with TensorFlow and PyTorch.

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This repository contains the software labs for MIT Introduction to Deep Learning, a university course teaching deep learning fundamentals. The labs are delivered as Jupyter notebooks running on Google Colab and cover topics including neural networks, computer vision, music generation, and deep reinforcement learning. Students use both TensorFlow and PyTorch frameworks and complete coding exercises by filling in TODO sections within the notebooks.

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