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| About 2,410 results [PDF] On optimization methods for deep learning - Stanford Computer ...https://cs.stanford.edu/~acoates/papers/LeNgiCoaLahProNg11.pdf Jiquan Ngiam ... Abhik Lahiri ... prochnow@cs.stanford.edu. Andrew Y. Ng ... deep learning advocates the use of stochastic gradient ... cated off-the-shelf optimization methods such .... lems (Le et al., 2010; Coates et al., 2011) and action. On Optimization Methods for Deep Learning - Andrew Ngwww.andrewng.org/.../on-optimization-methods-for-deep-learning/ Quoc V. Le Jiquan Ngiam Adam Coates Abhik Lahiri ... prochnow@cs.stanford. edu · ang@cs.stanford.edu. Abstract. The predominant methodology in training deep learning advocates the use of stochastic gradient ... In this paper, we show that more sophisticated off-the-shelf optimization methods such as Limited memory ... Adaptively Learning the Crowd Kernel - ICML 2011, The 28th ...www.icml-2011.org/papers.php However, existing methods still involve non-convex optimization problems, and ..... Quoc Le, Jiquan Ngiam, Adam Coates, Abhik Lahiri, Bobby Prochnow, Andrew Ng. Abstract:The predominant methodology in training deep learning advocates ... [PPT] On optimization methods for deep learning - Phil Longwww.phillong.info/stoc13/stoc13_ml_quoc_le.pptx In 2012, Le, et. al. trained a deep neural network using a cluster of machines .... Q.V. Le, J. Ngiam, Z. Chen, D. Chia, P. Koh, A.Y. Ng. Tiled Convolutional ... A. Coates, A. Lahiri, B. Prochnow, A.Y. Ng. On optimization methods for deep learning. On optimization methods for deep learning - ACM Digital Librarydl.acm.org/citation.cfm?id=3104516 Jun 28, 2011 ... Q. V. Le , W. Y. Zou , S. Y. Yeung , A. Y. Ng, Learning hierarchical ...... Quoc V. Le, Jiquan Ngiam, Adam Coates, Abhik Lahiri, Bobby Prochnow, ... [PDF] Fast algorithms for learning deep neural networks - Semantic Scholarhttps://pdfs.semanticscholar.org/.../ [4] Quoc Le, Jiquan Ngiam, Adam Coates, Abhik Lahiri, Bobby Prochnow, and Andrew Ng. On optimization methods for deep learning. In Lise Getoor and Tobias ... On optimization methods for deep learning - Semantic Scholarhttps://www.semanticscholar.org/.../On-optimization-methods-for-deep- The predominant methodology in training deep learning advocates the use of ... In this paper, we show that more sophisticated off-the-shelf optimization methods such as ... Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng; ICML; 2011 .... A Coates, H Lee, A Y Ng; AIS- TATS 14; 2011. On optimization methods for deep learning. | BibSonomyhttps://www.bibsonomy.org/.../1010b5d47baaa2c4b621d6587e82de13c On optimization methods for deep learning. Q. Le, J. Ngiam, ... added-at = {2016- 11-03T17:50:43.000+0100}, author = {Le, Quoc V. and Ngiam, Jiquan and Coates, Adam and Lahiri, Ahbik and Prochnow, Bobby and Ng, Andrew Y.}, biburl ... Optimization methods for deep learning | ArrayFirehttps://arrayfire.com/optimization-methods-for-deep-learning/ Sep 20, 2011 ... In their paper titled “On Optimization Methods for Deep Learning”, they ... Ngiam, Adam Coates, Abhik Lahiri, Bobby Prochnow, Andrew Y. Ng ... [PDF] Large Scale Distributed Deep Networkswww.cs.toronto.edu/.../DistBeliefNIPS2012_withAppendix.pdf Recent work in unsupervised feature learning and deep learning has shown ... We show that these same techniques dramatically accelerate the training ..... [7] Q.V. Le, J. Ngiam, A. Coates, A. Lahiri, B. Prochnow, and A.Y. Ng. On optimization ...
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