Implemented semi-functinal autoencoder; working on figuring out best way to scale feautures back to correct size
making sure i fixed git issues
Change autoencoder so that it uses square input data (allows full convolution to bring input back to size). Should work now
added demo sae file
:
added all files in common
added cnn folder
added fminlbfgs to see if bug is minfunc specific
Updated to use app metric; cleaned things up in general
added HUscale processing for val/test data before classification
Functional valAps
Functional but ugly semi-automated interface
literally don't remember
merge