Work towards PUB-603.  Layer indexing is still out-of-whack.  Back-prop needs to only work on TanhPrime layer, which shares the matrix with the Tanh layer, but uses the transpose.  Layer stats currently fails and leads to early termination of the run.
Fix indexing.
PUB-603: Fix memory leak.
TODO: override scoreImpl to do reconstruction of Frame based on auto-encoding network.
PUB-603: First running version of auto-encoding for Iris, not necessarily correct.
PUB-603: Generalize bprop for ADADELTA and momentum.  Still not giving good results.
Remove unneeded import.
Don't share the same matrix (and transpose), but have separate matrices for each layer during auto-encoding.
Fix condition
Update test to have two hidden layers.
NOTE: Still not clear how to reproduce the input values when transforming the output via tanh first into -1...1, then reversing the standardization.  This transform is not able to capture anything outside 2 standard deviations.
Fix indexing after using distinct weight matrices.
PUB-603: Working version of auto-encoder.
Use normalization (divide by max-min, center around mean) instead of standardization (divide by rms, center around mean).
Fix some loop indexing.
PUB-603: Allow DLAE to run from the UI, but not displaying any scoring results yet.
PUB-603: Add helper to compute the per-row L2 norms for a frame.
PUB-603: Only count rows during training.
PUB-603: Comment out TanhPrime.
PUB-603: Add support for per-column scaling factors during L2 computation.
PUB-603: Remove use of transposed matrices (and TanhPrime): Use full network instead.
Add helper function for auto-encoding back-prop for all activation
functions.
PUB-603: Compute reconstruction error and identify outliers with Quantiles.
Merge branch 'master' into arno-deeplearning2
PUB-603: Fix memory leak.