simpleNN

An easy to use fully connected neural network library. Also see on Matlab File Exchange.

Example usages

Basic

run the training

modelNN = learnNN(X, y);

plot the confusion matrix for the validation set

plotConfMat(modelNN.confusion_valid);

Here, X is an [m x n] feature matrix with m being the number of examples and n number of features. y is an [m x 1] vector of labels. plotConfMat plots the confusion matrix for the validation set.

Custom

Set some custom options, including the layer structure, regularization parameter lambda and a choice of activation function.

nnOptions = {'hiddenLayers', [40 20 10], 'lambda', 0.1, 'activationFn', 'tanh'};

Now, run the optimization using the custom options

modelNN = learnNN(X, y, nnOptions);