MNIST, 400 units, entropy 0.5 after 100 epochs, softmax 0.875, L1 1.5, append constant 0.1 (repeat successful 4/10 run)
encoder row init 0.8, 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