MatLab Vecorization for Unsupervised Learning

In this video, I demonstrate how to implement a digit classification program in MatLab that uses vectorization to optimize the execution time of the unsupervised learning algorithm. This should take about 15 to 20 minutes to run The link to the exercise can be found here: http://ufldl.stanford.edu/wiki/index.php/Exercise:Vectorization The completed source code can be found here (see the common directory for the sparse autoencoder source code): https://github.com/danluu/UFLDL-tutorial You can also reference https://www.mathworks.com/campaigns/products/artifacts/deep-learning.html for more information about Machine Learning with MatLab