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m2dsupsdlclass/lectures-labs

Lecture slides and Jupyter notebooks for a Master Year 2 Deep Learning course at Institut Polytechnique de Paris.

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This repository contains educational materials for a graduate-level deep learning course, including lecture slides and hands-on lab notebooks. The curriculum covers foundational topics such as backpropagation, embeddings, and convolutional networks, as well as advanced subjects including sequence-to-sequence models, attention mechanisms, unsupervised learning, and generative models.

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