sann

Simple Artificial Neural Network

References

ConvNetJS

Reinforcement Learning

Convolutional Neural Network

Dropout

Recurrent Neural Network

Layer types

conv, pool, fc, input, regression, softmax, svm, lstm, mdpagent, recurrent

Layer Attributes

type, act, noise, drop, l1_decay_mul, l2_decay_mul, out, hidden, sx, sy, sz, depth, filters, stride, padx, pady, padz, gamma, eps, nw, nsd

Trainer Methods

adadelta, adagrad, adam, nesterov, sgd, windowgrad

Trainer Attributes

type, lr, l1_decay, l2_decay, momentum, ro, eps, beta1, beta2, max_grad, batch, manual, bptt_step