siddharth-agrawal / Sparse-Autoencoder-Linear

-> This is a solution to the Linear Decoder exercise in the Stanford UFLDL Tutorial(http://ufldl.stanford.edu/wiki/index.php/Exercise:Learning_color_features_with_Sparse_Autoencoders)
-> The code has been written in Python using Scipy, Numpy and Matplotlib
-> The code is bound by The MIT License (MIT)

Running the code:

-> Download the data file 'stlSampledPatches.mat' and the code file 'sparseAutoencoderLinear.py'
-> Put them in the same folder, and run the program by typing in 'python sparseAutoencoderLinear.py' in the command line
-> You should get an output similar to the file 'output.png'
-> The code takes about a day to execute on an i3 processor

Code written by: Siddharth Agrawal
Email ID: [e-mail]