MNIST, 400 units, encoder row init 0.8, 11 ista iterations, 1 regularization iterations
class rows norm 5, class dict scaling 1 (rather than 0.2), encoder rows norms 1.0,
learning rate 5e-3, minibatch size 10, 100 epochs pretraining