trekhleb/nano-neuron resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2272 stars · 123 forks observed · 2026-08-28

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

NanoNeuron is an educational repository containing 7 simple JavaScript functions that demonstrate how machines learn, implemented as an over-simplified neuron trained to convert Celsius to Fahrenheit. It has no third-party libraries or dependencies, covering prediction, cost calculation, forward/backward propagation, and training in pure JavaScript.

Use cases

• learn how machine learning works from scratch
• understand forward and backward propagation with simple code
• see a minimal linear regression example in JavaScript
• teach machine learning basics without frameworks
• demystify how neural network training actually works
• find a beginner-friendly intro to gradient descent

When to choose

• you want a dependency-free, code-first introduction to ML fundamentals
• you learn best by reading small, self-contained JavaScript examples
• you want to explain 'machine learning math' to beginners

When to avoid

• you need a production-ready machine learning framework
• you want deep learning, neural network architectures, or real datasets
• you need GPU acceleration or high-performance training

Facets

learning-resource · maturity stable

machine-learning developer-tools machine-learning education tutorials educational neural-networks linear-regression from-scratch no-dependencies javascript nodejs

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