Fast multilayer feedforward neural network training in matlab

The following Matlab project contains the source code and Matlab examples used for fast multilayer feedforward neural network training. This codes optimizes a multilayer feedforward neural network using first-order stochastic gradient descent. It output the network as a structure, which can then be tested on new data.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
ask_params.m 1263
bprop.m 1695
cols.m 125
computeCost.m 1099
computeValidation.m 1296
Contents.m 1048
createBatches.m 1498
demo.m 1206
fprop.m 1128
initializeLayers.m 1954
license.txt 1315
nnet.m 3026
nnetDefaultParams.m 5430
nnetPrepare.m 1270
nnetTest.m 778
nnetTrain.m 2225
nnetTrainErrorsCompile.m 1288
nnetUpdate.m 673
nnetValidErrorsCompile.m 354
oneHot.m 346
parameters.m 2728
rows.m 124
sfigure.m 292
sigm.m 109
softmax.m 398
softplus.m 94

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