Classification involves taking an instance

/* (2) bag-of-words classifier: http://people.csail.mit.edu/fergus/iccv2005/bagwords.html They were short courses on ICCV 2005. */

/* Andrew Ng */

Classification on digits using neural networks

1. Check UFLDL provided by Andrew Ng
2. In this module, you are requires to:
3. First, implement the 'sparse autoencoder' section.
4. Second, get 'Vectorized implementation', 'Preprocessing: PCA and Whitening' and 'Softmax Regression' sections done.
5. Third, implement 'Self-Taught Learning and Unsupervised Feature Learning' section for digit classification.

/* Other related material, maybe more classic. */

ECE4580 Learning Modules