// the find
fengdu78/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
A community-translated Chinese study guide for Andrew Ng's deeplearning.ai specialization on Coursera, covering all five courses from basic neural networks through CNNs, RNNs, and sequence models. The audience is Chinese-speaking developers who want to follow Ng's curriculum without the language barrier. It is notes and diagrams, not code.
The coverage is thorough — every lecture across all five courses gets its own section, so there are no gaps if you're following the curriculum sequentially. The PDF export (v5.72) makes it usable offline and on mobile without fighting GitHub's HTML renderer. It includes the AI master interview transcripts (Hinton, Goodfellow, Bengio, Karpathy) which are genuinely hard to find in summarized form elsewhere. The project had meaningful community authorship with named contributors for each section, which at least gives you someone to blame when a derivation is wrong.
The repo has been dead since April 2022 and the underlying Coursera course has since shifted toward TensorFlow 2 and PyTorch — anything framework-specific in these notes is showing its age. All content is screenshots of handwritten math and exported HTML; there is no executable code, no Jupyter notebooks, nothing you can actually run. The external links (ai-start.com, Bilibili video) may or may not still resolve. This is a frozen snapshot of someone else's lecture notes, not a maintained resource — useful as a reference, not as a living guide.