[IPython-User] WIP: theano ipython tutorials

James Bergstra james.bergstra@gmail....
Sat Dec 22 13:18:49 CST 2012

The answer to my FAQ seems to be

a) nbconvert

b) nbviewer.ipython.org

Sorry for asking a perhaps too obvious question.
- James

(Thanks David Warde-Farley for the tips)

On Sat, Dec 22, 2012 at 11:01 AM, James Bergstra
<james.bergstra@gmail.com> wrote:
> I finally uploaded some theano tutorials in ipython that I'd been
> sitting on for a while (see below if you're interested!) but this
> brought up two quick questions about IPython:
> 1. what's the best way to run all the notebooks from top to bottom to
> make sure that there is no stale code?
> 2. what's the best way to publish the notebooks as images or a web
> page or something so that they can have a more web-friendly image?
> Right now, you have to download them and fire them up with IPython to
> get the *html* that finally lets you see them.
> - James
> On Sat, Dec 22, 2012 at 10:39 AM, James Bergstra
> <james.bergstra@gmail.com> wrote:
>> I think the IPython notebook is a brilliant way to teach theano and
>> machine learning in Python.  I've been working off and on toward a set
>> of tutorials similar to theano tutorial + deep learning tutorials, and
>> it's at a point where I'd like to share it, and maybe get some
>> feedback & contributions.
>> The code is here:
>> https://github.com/jaberg/IPythonTheanoTutorials
>> Currently the notebooks are:
>> Intro to Python.ipynb
>> Intro to Scikit Data (skdata).ipynb
>> Links to Related Work.ipynb
>> Model - Autoencoders and Variations with PyAutodiff.ipynb
>> Model - Convnet with PyAutodiff.ipynb
>> Model - LIF Neurons with Theano.ipynb
>> Model - Linear SVM with PyAutodiff.ipynb
>> Model - Logistic Regression with Theano.ipynb
>> Model - Multilayer Perceptron with PyAutodiff.ipynb
>> Notation for Machine Learning.ipynb
>> Preprocessing - Image Whitening.ipynb
>> Theano Tutorial (Part 1 - Introduction).ipynb
>> Theano Tutorial (Part 2 - Simple Computation).ipynb
>> Theano Tutorial (Part 3 - Functions and Shared Variables).ipynb
>> Theano Tutorial (Part 4 - Random Variables).ipynb
>> util.py
>> Note that pure python support files (e.g. util.py) can be included
>> alongside the notebook files, so that the notebooks can be more
>> focussed on just the important parts of the code.
>> There are a few known issues in this set of tutorials of various
>> kinds, but I just decided it was silly to be sitting on it and hiding
>> all the good parts as well, so here it is! Here's a home-made
>> christmas present, theano ppl :)
>> - James

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