qiaohaoforever/DeepLearningFromScratch resource

Health v2 · maintenance only

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Adoption not part of the score

1218 stars · 281 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An electronic edition and companion source code for the Chinese translation of the book 'Deep Learning from Scratch' (Deep Learning from Scratch: Theory and Implementation Based on Python). The code implements neural networks and deep learning fundamentals chapter by chapter using only Python, NumPy, and Matplotlib.

Use cases

• learn deep learning fundamentals from scratch in Python
• implement neural networks with only NumPy
• follow along with a deep learning book's chapter exercises
• understand backpropagation and training from first principles
• study deep learning theory without heavy frameworks

When to choose

• you want to learn how neural networks work internally without TensorFlow or PyTorch
• you are reading the 'Deep Learning from Scratch' book and need its code
• you prefer minimal dependencies like NumPy and Matplotlib for education

When to avoid

• you need a production deep learning framework with GPU acceleration
• you want pretrained models or state-of-the-art architectures
• you need maintained library APIs rather than educational code

Facets

learning-resource · maturity stable

machine-learning deep-learning deep-learning machine-learning tutorials python cross-platform deep-learning-from-scratch book-companion-code numpy educational chinese

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