Machine-Learning-Tokyo/AI_Curriculum
A curated index of open deep learning and reinforcement learning lectures from Stanford, MIT, UC Berkeley and other top universities.
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This repository aggregates publicly available lecture videos, slides, and course materials from university AI/ML curricula. It covers topics including applied machine learning, CNNs for visual recognition, NLP with deep learning, unsupervised learning, multi-task and meta learning, and deep reinforcement learning. Resources are organized by university course with links to YouTube playlists and source GitHub repositories.