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Merge pull request lisa-lab#35 from nouiz/url
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doc/lenet.txt

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@@ -42,10 +42,12 @@ Convolutional Neural Networks (LeNet)
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.. _dimshuffle: http://deeplearning.net/software/theano/library/tensor/basic.html#tensor._tensor_py_operators.dimshuffle
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.. note::
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The code for this section is available for download `here`_.
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The code for this section is available for download `here`_ and the `3wolfmoon image`_
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.. _here: http://deeplearning.net/tutorial/code/convolutional_mlp.py
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.. _3wolfmoon image: https://raw.githubusercontent.com/lisa-lab/DeepLearningTutorials/master/doc/images/3wolfmoon.jpg
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Motivation
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++++++++++
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from PIL import Image
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# open random image of dimensions 639x516
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img = Image.open(open('images/3wolfmoon.jpg'))
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img = Image.open(open('doc/images/3wolfmoon.jpg'))
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img = numpy.asarray(img, dtype='float64') / 256.
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# put image in 4D tensor of shape (1, 3, height, width)

doc/rnnrbm.txt

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Note that both dependencies above can be setup automatically by running the ``download.sh`` script in the ``../data`` directory.
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.. caution::
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Depending on your locally installed Theano version, you may have problems running this script.
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If this is the case, please use the `'bleeding-edge' developer version <http://deeplearning.net/software/theano/#download>`_ from github.
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Need Theano 0.6 or more recent.
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The RNN-RBM

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