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32![686 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 20, NO. 4, APRIL 2009 Spurious Valleys in the Error Surface of Recurrent Networks—Analysis and Avoidance 686 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 20, NO. 4, APRIL 2009 Spurious Valleys in the Error Surface of Recurrent Networks—Analysis and Avoidance](https://www.pdfsearch.io/img/7fb006ff6e9ccf86826931a756201555.jpg) | Add to Reading ListSource URL: hagan.ecen.ceat.okstate.eduLanguage: English - Date: 2009-12-17 20:19:46
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33![Recurrent Convolutional Neural Networks for Scene Labeling Pedro O. Pinheiro1,2 Ronan Collobert2 1 Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Lausanne, Switzerland Recurrent Convolutional Neural Networks for Scene Labeling Pedro O. Pinheiro1,2 Ronan Collobert2 1 Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Lausanne, Switzerland](https://www.pdfsearch.io/img/df8afdd84030f7d4768c411c13fe7f99.jpg) | Add to Reading ListSource URL: jmlr.orgLanguage: English - Date: 2014-02-16 19:30:21
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34![La Crosse Area Family YMCA Y CYCLE WEEKEND June 28 – 29, 2014 Join us for a weekend of cycling in the Coulee region! Choose from 3 different cycling events: Saturday will feature the Brice Prairie Time Trial and Sunda La Crosse Area Family YMCA Y CYCLE WEEKEND June 28 – 29, 2014 Join us for a weekend of cycling in the Coulee region! Choose from 3 different cycling events: Saturday will feature the Brice Prairie Time Trial and Sunda](https://www.pdfsearch.io/img/7812cf845c9e764a5a330b405b030b8a.jpg) | Add to Reading ListSource URL: wisport.orgLanguage: English - Date: 2014-03-12 16:15:54
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35![SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS Alex Graves, Abdel-rahman Mohamed and Geoffrey Hinton Department of Computer Science, University of Toronto ABSTRACT Recurrent neural networks (RNNs) are a powerful SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS Alex Graves, Abdel-rahman Mohamed and Geoffrey Hinton Department of Computer Science, University of Toronto ABSTRACT Recurrent neural networks (RNNs) are a powerful](https://www.pdfsearch.io/img/5b85407349deb953a1b27a182287efe5.jpg) | Add to Reading ListSource URL: www.cs.toronto.eduLanguage: English - Date: 2013-08-05 12:39:24
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36![Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a](https://www.pdfsearch.io/img/b88a7be97990a45510dd700f231002d4.jpg) | Add to Reading ListSource URL: deeplearning.cs.cmu.eduLanguage: English - Date: 2013-09-09 12:05:45
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37![SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS Alex Graves, Abdel-rahman Mohamed and Geoffrey Hinton Department of Computer Science, University of Toronto ABSTRACT Recurrent neural networks (RNNs) are a powerful SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS Alex Graves, Abdel-rahman Mohamed and Geoffrey Hinton Department of Computer Science, University of Toronto ABSTRACT Recurrent neural networks (RNNs) are a powerful](https://www.pdfsearch.io/img/3a7aabab4526513a5f381975759ed0c2.jpg) | Add to Reading ListSource URL: deeplearning.cs.cmu.eduLanguage: English - Date: 2013-10-28 11:21:25
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38![IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 45, NO. 11, NOVEMBER[removed]Bidirectional Recurrent Neural Networks Mike Schuster and Kuldip K. Paliwal, Member, IEEE IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 45, NO. 11, NOVEMBER[removed]Bidirectional Recurrent Neural Networks Mike Schuster and Kuldip K. Paliwal, Member, IEEE](https://www.pdfsearch.io/img/b33df569be9ab737db94e1c3f3de34b6.jpg) | Add to Reading ListSource URL: deeplearning.cs.cmu.eduLanguage: English - Date: 2013-09-18 08:37:13
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39![](https://www.pdfsearch.io/img/d74692bc2a95c711cf73b124f390cd19.jpg) | Add to Reading ListSource URL: deeplearning.cs.cmu.eduLanguage: English - Date: 2013-09-30 14:02:30
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40![Learning Long-Term Dependencies with Gradient Descent is Dicult Yoshua Bengioy, Patrice Simardy, and Paolo Frasconiz yAT&T zDip. Learning Long-Term Dependencies with Gradient Descent is Dicult Yoshua Bengioy, Patrice Simardy, and Paolo Frasconiz yAT&T zDip.](https://www.pdfsearch.io/img/7fd801448af02d4531f105fce4883ab3.jpg) | Add to Reading ListSource URL: deeplearning.cs.cmu.eduLanguage: English - Date: 2013-09-23 22:24:14
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