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doc/index.txt

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@@ -59,12 +59,26 @@ LSTM network for sentiment analysis:
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Energy-based recurrent neural network (RNN-RBM):
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* :ref:`Modeling and generating sequences of polyphonic music <rnnrbm>`
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Segmentation for medical imagery (meant to be read in order):
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* :ref:`Fully Convolutional Networks (FCN) for 2D segmentation <fcn_2D_segm>`
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* :ref:`U-Net <unet>`
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* :ref:`1D segmentation <cnn_1D_segm>`
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.. _Theano: http://deeplearning.net/software/theano
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.. _Theano basic tutorial: http://deeplearning.net/software/theano/tutorial
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.. _Contractive auto-encoders: https://github.com/lisa-lab/DeepLearningTutorials/blob/master/code/cA.py
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Note that the tutorials here are all compatible with Python 2 and 3, with the exception of :ref:`rnnrbm` which is only available for Python 2.
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Note that the tutorials here are all compatible with Python 2 and 3,
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with the exception of :ref:`rnnrbm` which is only available for Python 2, like
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the tutorials in medical imagery segmentation.
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