11 repos
Educational materials and hands-on projects for learning deep learning fundamentals, built primarily as Jupyter notebooks with accompanying Python implementations. These repositories combine lecture notes, algorithm implementations, and practical exercises, with a focus on teaching core concepts in neural networks, optimization, and machine learning from first principles. The cluster includes both structured course materials (like d2l-neu) and project-based learning repositories that walk through implementing deep learning techniques end-to-end.