MNIST, 400 units, 0.6 classification scaling, 11 ista iterations, 1 regularization iterations
class rows norm 5, encoder rows norms 1.25,
learning rate 5e-3, minibatch size 10, 100 epochs pretraining
decoding_feature_extraction_dictionary rows are fully normalized