mnielsen/neural-networks-and-deep-learning resource

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17888 stars · 7090 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Code samples accompanying Michael Nielsen's free online book 'Neural Networks and Deep Learning'. It implements neural networks from scratch in Python, including a Theano-based convolutional network example.

Use cases

• learn how neural networks work from scratch
• follow along with the neural networks and deep learning book
• understand backpropagation with example code
• study a simple handwritten digit classifier
• see how convolutional networks were implemented with Theano

When to choose

• you are reading Nielsen's book and want its companion code
• you want minimal, readable educational implementations of neural nets

When to avoid

• you need Python 3 code in this repo (use the community Python 3 fork)
• you need a maintained deep learning framework or production code
• you need Theano compatibility with modern versions

Facets

learning-resource · maturity abandoned

machine-learning deep-learning deep-learning tutorials python book-code theano educational neural-networks

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