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: about 1 month 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 13 years ago)
• Default Branch: master
• Last Pushed: 2016-01-29T02:39:51.000Z (almost 10 years ago)
• Last Synced: 2025-03-30T19:08:20.915Z (8 months ago)
• Language: Go
• Homepage:
• Size: 11.4 MB
• Stars: 362
• Watchers: 35
• Forks: 53
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-machine-learning - GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. **[Deprecated]** (Go / [Tools](#tools-1))
• awesome-machine-learning - GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. (Go / Speech Recognition)
• awesome-machine-learning - GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. **[Deprecated]** (Go)
• fucking-awesome-machine-learning - GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. **[Deprecated]** (Go / [Tools](#tools-1))
• awesome-machine-learning - GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. **[Deprecated]** (Go / [Tools](#tools-1))
• awesome-machine-learning - GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. (Go / Speech Recognition)
• awesome-machine-learning - GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. **[Deprecated]** (Go / [Tools](#tools-1))
• awesome-advanced-metering-infrastructure - GoNN - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. (Go / Speech Recognition)

README

          
GoNN [![GoDoc](https://godoc.org/github.com/fxsjy/gonn/gonn?status.svg)](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