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lamblin merged 2 commits into from
Jul 11, 2017
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Add Links to GitHub repo #192

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add link to github
Jul 11, 2017
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typo
Jul 11, 2017
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2 changes: 1 addition & 1 deletion doc/gettingstarted.txt
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Expand Up @@ -24,7 +24,7 @@ On each learning algorithm page, you will be able to download the corresponding

On Linux or Mac systems, after cloning, all datasets can be downloaded at once with:

cd DeeepLearningTutorials/data
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@lamblin lamblin Jul 11, 2017

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That was just a little too deep :)

cd DeepLearningTutorials/data
./download.sh


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4 changes: 3 additions & 1 deletion doc/index.txt
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Expand Up @@ -25,7 +25,9 @@ training them on a GPU.
The algorithm tutorials have some prerequisites. You should know some python,
and be familiar with numpy. Since this tutorial is about using Theano, you
should read over the `Theano basic tutorial`_ first. Once you've done that,
read through our :ref:`gettingstarted` chapter -- it introduces the notation, and [downloadable] datasets used in the algorithm tutorials, and the way we do optimization by stochastic gradient descent.
read through our :ref:`gettingstarted` chapter -- it introduces the notation, and downloadable datasets used in the algorithm tutorials, and the way we do optimization by stochastic gradient descent.

The code is available on the `Deep Learning Tutorial repositories <https://github.com/lisa-lab/DeepLearningTutorials>`_.

The purely supervised learning algorithms are meant to be read in order:

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2 changes: 1 addition & 1 deletion doc/rnnrbm.txt
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Expand Up @@ -17,7 +17,7 @@ Modeling and generating sequences of polyphonic music with the RNN-RBM
The script also assumes that the content of the `Nottingham Database of folk tunes <http://www.iro.umontreal.ca/~lisa/deep/data/Nottingham.zip>`_ has been extracted in the ``../data`` directory.
Alternative MIDI datasets are available `here <http://www-etud.iro.umontreal.ca/~boulanni/icml2012>`_.

Note that both dependencies above can be setup automatically by running the ``download.sh`` script in the ``../data`` directory.
Note that both dependencies above can be setup automatically by running the `download.sh <https://github.com/lisa-lab/DeepLearningTutorials/blob/master/data/download.sh>`_ script in the ``../data`` directory of the `Deep Learning Tutorials repository <https://github.com/lisa-lab/DeepLearningTutorials>`_.

.. caution::
Need Theano 0.6 or more recent.
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