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GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN
| Date | Stars |
|---|---|
| 2026-07-31 | 361 |
| 2026-08-02 | 360 |
| 2026-08-03 | 360 |
| 2026-08-04 | 360 |
| 2026-08-06 | 360 |
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GoNN [](https://godoc.org/github.com/fxsjy/gonn/gonn) ======== Neural Network in GoLang Feature ======= * BackPropagation Network / RBF Network / Perceptron Network * Parallel BackPropagation Network (each neural has its own go-routine) Benchmark ======= * Dataset: MNIST Acurrency Rate : 98.2% (800 hidden nodes) * Actually, you can get 96.9% using 100 hidden nodes in just three minutes of training TODO ======= * currently, the parallel version is much slower than the tranditional one, maybe caused by the cost of context switch of threads
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e2ff0b255cc94391, llm:Description: 'GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN'
matched fp:e2ff0b255cc94391, llm:Description: 'GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN'