super hacky code to print noisy mnist autoencoder reconstruction
added initialization of EM model
implemented kmean algorithm
logic for em steps. still buggy
added load data module for current datasets
skeleton of mlp class
working SigmoidLayer class
working MLP class constructed out of two sigmoid layers
separated model and training logic
refactored training and scoring functions
moved files to deep dir and added empty unit test files
removed old files
added temp file to mess around. testing mlp on kaggle decoding data set. need to reshape
reorganized files
reorganized files
clean up
added abstract data model
separated datasets into classes
added basic loading init for classes
added plotting functionality