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llSourcell/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
A markdown checklist linking to YouTube videos, blog posts, and Coursera courses for learning deep learning over six weeks. There is no code in this repo — it is a reading/watching list. Aimed at absolute beginners who need someone to sequence their learning path.
The sequencing is reasonable: feedforward nets before CNNs before RNNs before RL is the right order. Pointing at cs231n and the Goodfellow deep learning book are genuinely good choices — those are still solid resources. The 'write it yourself without ML libraries' exercises in weeks 1-3 are the most valuable part of the curriculum.
Abandoned since 2018 — the Coursera links, YouTube playlists, and blog posts may be dead or reorganized. The tooling week teaches TensorFlow 1.x with the session API, which is completely obsolete. No code, no notebooks, nothing to run — it's entirely dependent on third-party content that this repo has no control over. Siraj Raval was later credibly accused of plagiarism and academic fraud, which casts a shadow on anything bearing his name.