added some new activation functions, this will allow for support for regression with neural nets
changed logistic regression to be an output layer, now it is possible to do other kinds of classification or regression
added some more to convnet backprop
added a few more steps to conv net backprop, need to figure out/consolidate returning everything for backprop now
added early stopping
added completed backprop for conv nets
fixed up deep auto encoder
fixed output layer gradient calculations
added weight multiplication for first layer, this is used with textual topic modeling, also got rid of redundant parameter