This folder contains an IPython notebook that will teach you how to do layer-wise pre-training using denoising auto-encoders and then stack them together to form a MLP and do supervised fine-tuning on it.

Guide on how to load IPython notebooks:
http://deeplearning.net/software/pylearn2/tutorial/notebook_tutorials.html#notebook-tutorials

The yaml files in this folder are yaml file templates that would be loaded inside the notebook. For details on how to load them, read the notebook.
