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https://github.com/fxsjy/gonn
GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN
https://github.com/fxsjy/gonn
Last synced: 18 days ago
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GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN
- Host: GitHub
- URL: https://github.com/fxsjy/gonn
- Owner: fxsjy
- Created: 2012-10-21T15:39:22.000Z (about 12 years ago)
- Default Branch: master
- Last Pushed: 2016-01-29T02:39:51.000Z (almost 9 years ago)
- Last Synced: 2024-11-16T20:43:59.133Z (26 days ago)
- Language: Go
- Homepage:
- Size: 11.4 MB
- Stars: 361
- Watchers: 35
- Forks: 53
- Open Issues: 4
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-golang-ai - gonn
README
GoNN [![GoDoc](https://godoc.org/github.com/fxsjy/gonn/gonn?status.svg)](https://godoc.org/github.com/fxsjy/gonn/gonn)
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Neural Network in GoLangFeature
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* BackPropagation Network / RBF Network / Perceptron Network
* Parallel BackPropagation Network (each neural has its own go-routine)Benchmark
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* Dataset: MNIST Acurrency Rate : 98.2% (800 hidden nodes)
* Actually, you can get 96.9% using 100 hidden nodes in just three minutes of trainingTODO
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* currently, the parallel version is much slower than the tranditional one, maybe caused by the cost of context switch of threads