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neural-network-digits

Neural network from scratch in pure Python + NumPy that recognises handwritten digits (MNIST), with an educational GUI: watch it learn, tweak it while it trains, look inside every layer.

Details

External ID
1387683906
Source
GITHUB
Company
—
Product
neural-network-digits
Website domain
github.com
Launched
Sept. 25, 2026
Cohort
—
Upvotes
30
Upvotes percentile
0.7248911094030234
Tags
backpropagation, deep-learning, educational, from-scratch, handwritten-digit-recognition, machine-learning, matplotlib, mnist, neural-network, numpy, python, tkinter
Fetched at
Sept. 29, 2026, 5:02 p.m.
Updated at
Sept. 29, 2026, 5:02 p.m.

Enrichment

Theme
ai-powered learning and skills training
Vertical
Education
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
educational neural network visualizer for mnist
Manually corrected
False

Could you build this?

Yes Building a simple feedforward/convolutional MNIST digit recognizer with NumPy and a Tkinter/Pygame/PyQt educational GUI is standard boilerplate well within vibe-coding reach.

Competitors

Other products that read as similar to this one — 22 launches clear the similarity bar, closest 8 shown.

Attention rank: #9 of 23 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 252 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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