.. _notebook_tutorials:

==========================
IPython Notebook Tutorials
==========================

For more thorough tutorials on different models you can look at the ipython notebook tutorials at
"pylearn2/scripts/tutorials/"

How to Run
==========

`Here <http://ipython.org/ipython-doc/stable/interactive/htmlnotebook.html>`_ is a tutorial on ipython notebooks. But basically you can move to the tutorial folder and 
start the ipython notebook engine as follow::

    $ ipython notebook


View Static Versions Online
============================

Here are the links to the static versions of the notebooks that you can view online:

* `Softmax Regression <http://nbviewer.ipython.org/urls/github.com/lisa-lab/pylearn2/raw/master/pylearn2/scripts/tutorials/softmax_regression/softmax_regression.ipynb>`_
* `Multilayer Perceptron <http://nbviewer.ipython.org/urls/github.com/lisa-lab/pylearn2/raw/master/pylearn2/scripts/tutorials/multilayer_perceptron/multilayer_perceptron.ipynb>`_
* `Convolutional Network <http://nbviewer.ipython.org/urls/raw.github.com/lisa-lab/pylearn2/master/pylearn2/scripts/tutorials/convolutional_network/convolutional_network.ipynb>`_
* `Stacked Autoencoders <http://nbviewer.ipython.org/urls/raw.github.com/lisa-lab/pylearn2/master/pylearn2/scripts/tutorials/stacked_autoencoders/stacked_autoencoders.ipynb>`_