This project follows UFLDL tutorial of Stanford University. Some useful materials on the web : http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial All sub-branches below should be implemented 1.Sparse Autoencoder 2.Vectorizd implementation 3.Preprocessing:PCA and Whitening 4.Softmax Regression 5.Self-Taught Learning and Unsupervised Feather Learning 6.Building Deep Networks for Classification 7.Linear Decoders with Autoencoders 8.Working with Large Images