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Theano: A Python framework for fast computation of mathematical expressions.

R. Al-Rfou', G. Alain, A. Almahairi, C. Angermüller, D. Bahdanau, N. Ballas, F. Bastien, J. Bayer, A. Belikov, A. Belopolsky, Y. Bengio, A. Bergeron, J. Bergstra, V. Bisson, J. Snyder, N. Bouchard, N. Boulanger-Lewandowski, X. Bouthillier, A. de Brébisson, O. Breuleux, P. Carrier, K. Cho, J. Chorowski, P. Christiano, T. Cooijmans, M. Côté, M. Côté, A. Courville, Y. Dauphin, O. Delalleau, J. Demouth, G. Desjardins, S. Dieleman, L. Dinh, M. Ducoffe, V. Dumoulin, S. Kahou, D. Erhan, Z. Fan, O. Firat, M. Germain, X. Glorot, I. Goodfellow, M. Graham, Ç. Gülçehre, P. Hamel, I. Harlouchet, J. Heng, B. Hidasi, S. Honari, A. Jain, S. Jean, K. Jia, M. Korobov, V. Kulkarni, A. Lamb, P. Lamblin, E. Larsen, C. Laurent, S. Lee, S. Lefrançois, S. Lemieux, N. Léonard, Z. Lin, J. Livezey, C. Lorenz, J. Lowin, Q. Ma, P. Manzagol, O. Mastropietro, R. McGibbon, R. Memisevic, B. van Merriënboer, V. Michalski, M. Mirza, A. Orlandi, C. Pal, R. Pascanu, M. Pezeshki, C. Raffel, D. Renshaw, M. Rocklin, A. Romero, M. Roth, P. Sadowski, J. Salvatier, F. Savard, J. Schlüter, J. Schulman, G. Schwartz, I. Serban, D. Serdyuk, S. Shabanian, É. Simon, S. Spieckermann, S. Subramanyam, J. Sygnowski, J. Tanguay, G. van Tulder, J. Turian, S. Urban, P. Vincent, F. Visin, H. de Vries, D. Warde-Farley, D. Webb, M. Willson, K. Xu, L. Xue, L. Yao, S. Zhang, and Y. Zhang. CoRR, (2016)

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Univ. -Prof. Dr. James Foster University of Stuttgart

Samuel James Tovey University of Stuttgart

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Autoregressive Policies for Continuous Control Deep Reinforcement Learning.D. Korenkevych, A. Mahmood, G. Vasan, and J. Bergstra. IJCAI, page 2754-2762. ijcai.org, (2019)Quadratic Features and Deep Architectures for Chunking.J. Turian, J. Bergstra, and Y. Bengio. HLT-NAACL (Short Papers), page 245-248. The Association for Computational Linguistics, (2009)Predicting genre labels for artist using FreeDB.J. Bergstra, A. Lacoste, and D. Eck. ISMIR, page 85-88. (2006)Algorithms for Hyper-Parameter Optimization.J. Bergstra, R. Bardenet, Y. Bengio, and B. Kégl. NIPS, page 2546-2554. (2011)Challenges in representation learning: A report on three machine learning contests.I. Goodfellow, D. Erhan, P. Carrier, A. Courville, M. Mirza, B. Hamner, W. Cukierski, Y. Tang, D. Thaler, D. Lee and 18 other author(s). Neural Networks, (2015)Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures.J. Bergstra, D. Yamins, and D. Cox. ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 115-123. JMLR.org, (2013)Unsupervised Models of Images by Spikeand-Slab RBMs.A. Courville, J. Bergstra, and Y. Bengio. ICML, page 1145-1152. Omnipress, (2011)Scalable Genre and Tag Prediction with Spectral Covariance.J. Bergstra, M. Mandel, and D. Eck. ISMIR, page 507-512. International Society for Music Information Retrieval, (2010)Aggregate features and ADABOOSTfor music classification.J. Bergstra, N. Casagrande, D. Erhan, D. Eck, and B. Kégl. Machine Learning, 65 (2-3): 473-484 (2006)Suitability of V1 Energy Models for Object Classification.J. Bergstra, Y. Bengio, and J. Louradour. Neural Computation, 23 (3): 774-790 (2011)

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Disambiguation of "Bergstra, James"

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Theano: A Python framework for fast computation of mathematical expressions.

Please choose a person to relate this publication to

Univ. -Prof. Dr. James Foster University of Stuttgart

Samuel James Tovey University of Stuttgart

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Disambiguation of "Bergstra, James"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Theano: A Python framework for fast computation of mathematical expressions.

Please choose a person to relate this publication to

Univ. -Prof. Dr. James Foster University of Stuttgart

Samuel James Tovey University of Stuttgart

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Disambiguation

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Theano: A Python framework for fast computation of mathematical expressions.