mattm/simple-neural-network resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1093 stars · 546 forks observed · 2026-08-28

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

A small Python script that demonstrates how the backpropagation algorithm works in a neural network, accompanying a step-by-step blog post. It is educational example code rather than a reusable library.

Use cases

• learn how backpropagation works step by step
• understand neural network gradient calculations
• follow along with a backpropagation tutorial
• see a minimal neural network implemented from scratch in Python
• teach deep learning fundamentals with simple code

When to choose

• you want to understand the math behind backpropagation with readable code
• you need a tiny from-scratch example to study or teach
• you are following the author's step-by-step backpropagation blog post

When to avoid

• you need a production-ready neural network framework
• you want GPU acceleration or performance
• you need a maintained library with tests, license clarity, or an API

Facets

learning-resource · maturity maintenance

machine-learning deep-learning developer-tools machine-learning deep-learning education tutorials python cross-platform backpropagation neural-network educational example-code no-dependencies

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