%0 Generic %1 team2016theano %A Team, The Theano Development %A Al-Rfou, Rami %A Alain, Guillaume %A Almahairi, Amjad %A Angermueller, Christof %A Bahdanau, Dzmitry %A Ballas, Nicolas %A Bastien, Frédéric %A Bayer, Justin %A Belikov, Anatoly %A Belopolsky, Alexander %A Bengio, Yoshua %A Bergeron, Arnaud %A Bergstra, James %A Bisson, Valentin %A Snyder, Josh Bleecher %A Bouchard, Nicolas %A Boulanger-Lewandowski, Nicolas %A Bouthillier, Xavier %A de Brébisson, Alexandre %A Breuleux, Olivier %A Carrier, Pierre-Luc %A Cho, Kyunghyun %A Chorowski, Jan %A Christiano, Paul %A Cooijmans, Tim %A Côté, Marc-Alexandre %A Côté, Myriam %A Courville, Aaron %A Dauphin, Yann N. %A Delalleau, Olivier %A Demouth, Julien %A Desjardins, Guillaume %A Dieleman, Sander %A Dinh, Laurent %A Ducoffe, Mélanie %A Dumoulin, Vincent %A Kahou, Samira Ebrahimi %A Erhan, Dumitru %A Fan, Ziye %A Firat, Orhan %A Germain, Mathieu %A Glorot, Xavier %A Goodfellow, Ian %A Graham, Matt %A Gulcehre, Caglar %A Hamel, Philippe %A Harlouchet, Iban %A Heng, Jean-Philippe %A Hidasi, Balázs %A Honari, Sina %A Jain, Arjun %A Jean, Sébastien %A Jia, Kai %A Korobov, Mikhail %A Kulkarni, Vivek %A Lamb, Alex %A Lamblin, Pascal %A Larsen, Eric %A Laurent, César %A Lee, Sean %A Lefrancois, Simon %A Lemieux, Simon %A Léonard, Nicholas %A Lin, Zhouhan %A Livezey, Jesse A. %A Lorenz, Cory %A Lowin, Jeremiah %A Ma, Qianli %A Manzagol, Pierre-Antoine %A Mastropietro, Olivier %A McGibbon, Robert T. %A Memisevic, Roland %A van Merriënboer, Bart %A Michalski, Vincent %A Mirza, Mehdi %A Orlandi, Alberto %A Pal, Christopher %A Pascanu, Razvan %A Pezeshki, Mohammad %A Raffel, Colin %A Renshaw, Daniel %A Rocklin, Matthew %A Romero, Adriana %A Roth, Markus %A Sadowski, Peter %A Salvatier, John %A Savard, François %A Schlüter, Jan %A Schulman, John %A Schwartz, Gabriel %A Serban, Iulian Vlad %A Serdyuk, Dmitriy %A Shabanian, Samira %A Simon, Étienne %A Spieckermann, Sigurd %A Subramanyam, S. Ramana %A Sygnowski, Jakub %A Tanguay, Jérémie %A van Tulder, Gijs %A Turian, Joseph %A Urban, Sebastian %A Vincent, Pascal %A Visin, Francesco %A de Vries, Harm %A Warde-Farley, David %A Webb, Dustin J. %A Willson, Matthew %A Xu, Kelvin %A Xue, Lijun %A Yao, Li %A Zhang, Saizheng %A Zhang, Ying %D 2016 %K machinelearn %T Theano: A Python framework for fast computation of mathematical expressions %U http://arxiv.org/abs/1605.02688 %X Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction, it has been one of the most used CPU and GPU mathematical compilers - especially in the machine learning community - and has shown steady performance improvements. Theano is being actively and continuously developed since 2008, multiple frameworks have been built on top of it and it has been used to produce many state-of-the-art machine learning models. The present article is structured as follows. Section I provides an overview of the Theano software and its community. Section II presents the principal features of Theano and how to use them, and compares them with other similar projects. Section III focuses on recently-introduced functionalities and improvements. Section IV compares the performance of Theano against Torch7 and TensorFlow on several machine learning models. Section V discusses current limitations of Theano and potential ways of improving it.

@misc{team2016theano, abstract = {Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction, it has been one of the most used CPU and GPU mathematical compilers - especially in the machine learning community - and has shown steady performance improvements. Theano is being actively and continuously developed since 2008, multiple frameworks have been built on top of it and it has been used to produce many state-of-the-art machine learning models. The present article is structured as follows. Section I provides an overview of the Theano software and its community. Section II presents the principal features of Theano and how to use them, and compares them with other similar projects. Section III focuses on recently-introduced functionalities and improvements. Section IV compares the performance of Theano against Torch7 and TensorFlow on several machine learning models. Section V discusses current limitations of Theano and potential ways of improving it.}, added-at = {2019-08-02T10:59:01.000+0200}, author = {Team, The Theano Development and Al-Rfou, Rami and Alain, Guillaume and Almahairi, Amjad and Angermueller, Christof and Bahdanau, Dzmitry and Ballas, Nicolas and Bastien, Frédéric and Bayer, Justin and Belikov, Anatoly and Belopolsky, Alexander and Bengio, Yoshua and Bergeron, Arnaud and Bergstra, James and Bisson, Valentin and Snyder, Josh Bleecher and Bouchard, Nicolas and Boulanger-Lewandowski, Nicolas and Bouthillier, Xavier and de Brébisson, Alexandre and Breuleux, Olivier and Carrier, Pierre-Luc and Cho, Kyunghyun and Chorowski, Jan and Christiano, Paul and Cooijmans, Tim and Côté, Marc-Alexandre and Côté, Myriam and Courville, Aaron and Dauphin, Yann N. and Delalleau, Olivier and Demouth, Julien and Desjardins, Guillaume and Dieleman, Sander and Dinh, Laurent and Ducoffe, Mélanie and Dumoulin, Vincent and Kahou, Samira Ebrahimi and Erhan, Dumitru and Fan, Ziye and Firat, Orhan and Germain, Mathieu and Glorot, Xavier and Goodfellow, Ian and Graham, Matt and Gulcehre, Caglar and Hamel, Philippe and Harlouchet, Iban and Heng, Jean-Philippe and Hidasi, Balázs and Honari, Sina and Jain, Arjun and Jean, Sébastien and Jia, Kai and Korobov, Mikhail and Kulkarni, Vivek and Lamb, Alex and Lamblin, Pascal and Larsen, Eric and Laurent, César and Lee, Sean and Lefrancois, Simon and Lemieux, Simon and Léonard, Nicholas and Lin, Zhouhan and Livezey, Jesse A. and Lorenz, Cory and Lowin, Jeremiah and Ma, Qianli and Manzagol, Pierre-Antoine and Mastropietro, Olivier and McGibbon, Robert T. and Memisevic, Roland and van Merriënboer, Bart and Michalski, Vincent and Mirza, Mehdi and Orlandi, Alberto and Pal, Christopher and Pascanu, Razvan and Pezeshki, Mohammad and Raffel, Colin and Renshaw, Daniel and Rocklin, Matthew and Romero, Adriana and Roth, Markus and Sadowski, Peter and Salvatier, John and Savard, François and Schlüter, Jan and Schulman, John and Schwartz, Gabriel and Serban, Iulian Vlad and Serdyuk, Dmitriy and Shabanian, Samira and Simon, Étienne and Spieckermann, Sigurd and Subramanyam, S. Ramana and Sygnowski, Jakub and Tanguay, Jérémie and van Tulder, Gijs and Turian, Joseph and Urban, Sebastian and Vincent, Pascal and Visin, Francesco and de Vries, Harm and Warde-Farley, David and Webb, Dustin J. and Willson, Matthew and Xu, Kelvin and Xue, Lijun and Yao, Li and Zhang, Saizheng and Zhang, Ying}, biburl = {https://www.bibsonomy.org/bibtex/27d82371af7178d13b48b390303db4e1e/cmcneile}, description = {Theano: A Python framework for fast computation of mathematical expressions}, interhash = {db81188b1676ff50b63b8c1920bca5e1}, intrahash = {7d82371af7178d13b48b390303db4e1e}, keywords = {machinelearn}, note = {cite arxiv:1605.02688Comment: 19 pages, 5 figures}, timestamp = {2019-08-02T10:59:01.000+0200}, title = {Theano: A Python framework for fast computation of mathematical expressions}, url = {http://arxiv.org/abs/1605.02688}, year = 2016 }