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neural-network-from-scratch
vzhou842/neural-network-from-scratch
A Neural Network implemented from scratch (using only numpy) in Python.
★232stars
Python
MIT
Updated: 2w ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Learning & Resources category, core strengths: guide/introduction-to-data-science
Who made it?Maintained by vzhou842 team, 232⭐ on GitHub, #2399 out of 3640 in Learning & Resources
Why does it exist?As the Learning & Resources landscape evolved, the vzhou842 team identified the need for better guide solutions. neural-network-from-scratch was created to simplify introduction-to-data-science workflows.
What can it do?Key use cases: machine-learning, neural-network
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/vzhou842/neural-network-from-scratch | 官网 https://victorzhou.com/blog/intro-to-neural-networks/
🔗 github.com/vzhou842/neural-network-from-scratch | 官网 https://victorzhou.com/blog/intro-to-neural-networks/
Topics
guideintroduction-to-data-sciencemachine-learningneural-networkpython