I made a game that teaches you how AI works
Synapse is a browser game that teaches the math behind neural networks by allowing players to tune the numbers in a network to produce the right answers. The game starts with a single neuron and builds up to deep, multi-layer nets, with later levels featuring real training problems. The game includes 12 levels, a level picker, live feedback, hints, and a per-level explainer, all contained in a single self-contained HTML file.
- ▪The game teaches the math behind neural networks by allowing players to tune the numbers in a network.
- ▪The game includes 12 levels, ranging from simple to complex neural networks.
- ▪The game features live feedback, hints, and a per-level explainer to help players learn.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,321 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/Tylersuard/Synapse_neural_net_training_game/tree/main |
| Publication time | Sun, 28 Jun 2026 04:50:27 +0000 |
| Retrieval time | 2026-06-28T09:26:46.965Z |
| Last seen | 2026-06-28T09:26:46.965Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | KvozbEdG2Nx1 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Synapse_neural_net_training_game SYNAPSE is a browser game that teaches the math behind neural networks. You're given a network (inputs, weights, biases, hidden layers, and outputs) and you tune the numbers until the network produces the right answers. It starts with a single neuron (output = input × weight + bias) and builds up to deep, multi-layer nets. Later levels are real training problems: the same weights must satisfy several input→output examples at once, with decimal targets, negative weights, and genuine ReLU clamping, so guessing won't cut it, and you learn to solve them. Includes 12 levels, a level picker, live feedback, hints, and a per-level explainer. Single self-contained HTML file, no dependencies, works offline.
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.