Attempt to repeat good run on 12/18 with L1_scaling = 1
L1 scaling is 1.0*9e-2, 0.25 data template init, 400 units, 11 ista iterations, WITH manual explaining away diag,
classification rows normalized to 5, class dict grad scaled by 0.2
learning rate 5e-3, learning rates scaled down in proportion to the number of ISTA repeats,
minibatch size 10, 100 epochs pretraining, Repair after every 5th minibatch
encoding_feature_extraction_dictionary rows are normalized to 1.25/(num_ista_iterations + 1)