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