Added hard entropy regularizer with no softmax preprocessing, added NormalizeTensorL1, improved efficiency of NormalizeTensor,
MNIST, 400 units, 0.3 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