Java Deep Learning Cookbook

How to do it...

1. Choose the correct training approach. Here is what is expected to happen during the training instance:

 Input -> Encoded Input -> Decode -> Output

So, we need to train output against input (output ~ input, in an ideal case).

2. Train every feature set using the fit() method:

int nEpochs = 30; for( int epoch=0; epoch<nEpochs; epoch++ ){ for(INDArray data : featuresTrain){ net.fit(data,data); } }