I wrote my first neural network
Details
- External ID
- 47371870
- Source
- HN
- Company
- —
- Product
- I wrote my first neural network
- Website domain
- github.com
- Launched
- March 14, 2026
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.2853628536285363
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
I have been interested in neural nets since the 90's. I've done quite a bit of reading, but never gotten around to writing code. I used Gemini in place of Wikipedia to fill in the gaps of my knowledge. The coolest part of this was learning about dual numbers. You can see in early commits that I did not yet know about auto-diff; I was thinking I'd have to integrate a CAS library or something. Now, I'm off to play with TensorFlow.
Enrichment
- Theme
- indie hacker passion projects
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- neural network implementation
- Manually corrected
- False
Could you build this?
Yes Writing a basic neural network from scratch (forward pass, backpropagation, or dual-number automatic differentiation) is a classic educational project well within the capability of an AI coding assistant.
Discussion
No comments on this launch.
Competitors
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Attention rank: #95 of 124 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 134 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
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