Fix compilation warnings

lamblin · lamblin · commit 1c8cbc033a0a · 2015-07-06T17:17:46.000-04:00
diff --git a/doc/logreg.txt b/doc/logreg.txt
@@ -266,7 +266,7 @@ instance we used a batch size of 600.
 
 
 Prediction Using a Trained Model
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 ``sgd_optimization_mnist`` serialize and pickle the model each time new
 lowest validation error is reached. We can reload this model and predict
diff --git a/doc/lstm.txt b/doc/lstm.txt
@@ -211,21 +211,21 @@ If you use this tutorial, please cite the following papers.
 
 Introduction of the LSTM model:
 
-* `[pdf] <http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf>`_ Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural computation, 9(8), 1735-1780.
+* `[pdf] <http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf>`__ Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural computation, 9(8), 1735-1780.
 
 Addition of the forget gate to the LSTM model:
 
-* `[pdf] <http://www.mitpressjournals.org/doi/pdf/10.1162/089976600300015015>`_ Gers, F. A., Schmidhuber, J., & Cummins, F. (2000). Learning to forget: Continual prediction with LSTM. Neural computation, 12(10), 2451-2471.
+* `[pdf] <http://www.mitpressjournals.org/doi/pdf/10.1162/089976600300015015>`__ Gers, F. A., Schmidhuber, J., & Cummins, F. (2000). Learning to forget: Continual prediction with LSTM. Neural computation, 12(10), 2451-2471.
 
 More recent LSTM paper:
 
-* `[pdf] <http://www.cs.toronto.edu/~graves/preprint.pdf>`_ Graves, Alex. Supervised sequence labelling with recurrent neural networks. Vol. 385. Springer, 2012.
+* `[pdf] <http://www.cs.toronto.edu/~graves/preprint.pdf>`__ Graves, Alex. Supervised sequence labelling with recurrent neural networks. Vol. 385. Springer, 2012.
 
 Papers related to Theano:
 
-* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/nips2012_deep_workshop_theano_final.pdf>`_ Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Bergstra, James, Goodfellow, Ian, Bergeron, Arnaud, Bouchard, Nicolas, and Bengio, Yoshua. Theano: new features and speed improvements. NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2012.
+* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/nips2012_deep_workshop_theano_final.pdf>`__ Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Bergstra, James, Goodfellow, Ian, Bergeron, Arnaud, Bouchard, Nicolas, and Bengio, Yoshua. Theano: new features and speed improvements. NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2012.
 
-* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/theano_scipy2010.pdf>`_ Bergstra, James, Breuleux, Olivier, Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Desjardins, Guillaume, Turian, Joseph, Warde-Farley, David, and Bengio, Yoshua. Theano: a CPU and GPU math expression compiler. In Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010.
+* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/theano_scipy2010.pdf>`__ Bergstra, James, Breuleux, Olivier, Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Desjardins, Guillaume, Turian, Joseph, Warde-Farley, David, and Bengio, Yoshua. Theano: a CPU and GPU math expression compiler. In Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010.
 
 Thank you!
 
diff --git a/doc/rnnslu.txt b/doc/rnnslu.txt
@@ -27,15 +27,15 @@ Papers
 
 If you use this tutorial, cite the following papers:
 
-* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/RNNSpokenLanguage2013.pdf>`_ Grégoire Mesnil, Xiaodong He, Li Deng and Yoshua Bengio. Investigation of Recurrent-Neural-Network Architectures and Learning Methods for Spoken Language Understanding. Interspeech, 2013.
+* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/RNNSpokenLanguage2013.pdf>`__ Grégoire Mesnil, Xiaodong He, Li Deng and Yoshua Bengio. Investigation of Recurrent-Neural-Network Architectures and Learning Methods for Spoken Language Understanding. Interspeech, 2013.
 
-* `[pdf] <http://research.microsoft.com/en-us/people/gokhant/0000019.pdf>`_ Gokhan Tur, Dilek Hakkani-Tur and Larry Heck. What is left to be understood in ATIS?
+* `[pdf] <http://research.microsoft.com/en-us/people/gokhant/0000019.pdf>`__ Gokhan Tur, Dilek Hakkani-Tur and Larry Heck. What is left to be understood in ATIS?
 
-* `[pdf] <http://lia.univ-avignon.fr/fileadmin/documents/Users/Intranet/fich_art/997-Interspeech2007.pdf>`_ Christian Raymond and Giuseppe Riccardi. Generative and discriminative algorithms for spoken language understanding. Interspeech, 2007.
+* `[pdf] <http://lia.univ-avignon.fr/fileadmin/documents/Users/Intranet/fich_art/997-Interspeech2007.pdf>`__ Christian Raymond and Giuseppe Riccardi. Generative and discriminative algorithms for spoken language understanding. Interspeech, 2007.
 
-* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/nips2012_deep_workshop_theano_final.pdf>`_ Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Bergstra, James, Goodfellow, Ian, Bergeron, Arnaud, Bouchard, Nicolas, and Bengio, Yoshua. Theano: new features and speed improvements. NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2012.
+* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/nips2012_deep_workshop_theano_final.pdf>`__ Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Bergstra, James, Goodfellow, Ian, Bergeron, Arnaud, Bouchard, Nicolas, and Bengio, Yoshua. Theano: new features and speed improvements. NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2012.
 
-* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/theano_scipy2010.pdf>`_ Bergstra, James, Breuleux, Olivier, Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Desjardins, Guillaume, Turian, Joseph, Warde-Farley, David, and Bengio, Yoshua. Theano: a CPU and GPU math expression compiler. In Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010.
+* `[pdf] <http://www.iro.umontreal.ca/~lisa/pointeurs/theano_scipy2010.pdf>`__ Bergstra, James, Breuleux, Olivier, Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Desjardins, Guillaume, Turian, Joseph, Warde-Farley, David, and Bengio, Yoshua. Theano: a CPU and GPU math expression compiler. In Proceedings of the Python for Scientific Computing Conference (SciPy), June 2010.
 
 Thank you!
 
