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Neural networks
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181	Neural networks Training neural networks - model selection Machine learning Machine learning Add to Reading List Source URL: dl.dropboxusercontent.com
182	Neural networks Training neural networks - parameter initialization P MACHINE LEARNING Add to Reading List Source URL: dl.dropboxusercontent.com
183	Bidirectional Recurrent Neural Networks as Generative Models Mathias Berglund Aalto University, Finland Leo K¨arkk¨ainen Nokia Labs, Finland Add to Reading List Source URL: papers.nips.cc - Date: 2016-02-16 15:51:48
184	Neural networks Conditional random fields - motivation Hugo Larochelle 2 D´ Add to Reading List Source URL: dl.dropboxusercontent.com
185	SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks Xun Huang1,2† Chengyao Shen1 Xavier Boix1,3 Qi Zhao1∗ 1 Department of Electrical and Computer Engineering, National Universi Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 14:57:44
186	Unitary Evolution Recurrent Neural Networks arXiv:1511.06464v4 [cs.LG] 25 May 2016 Martin Arjovsky ∗ Amar Shah ∗ Add to Reading List Source URL: arxiv.org - Date: 2016-05-26 21:52:27
187	IEEE TRANSACTIONS ON NEURAL NETWORKS 1 Online Kernel-based Learning for Task-Space Tracking Robot Control Add to Reading List Source URL: www.ias.informatik.tu-darmstadt.de - Date: 2012-05-22 03:34:05
188	Neural networks Training neural networks - optimization OPTIMIZATION Topics: local optimum, global optimum, plateau • Notes Add to Reading List Source URL: dl.dropboxusercontent.com
189	Neural networks Feedforward neural network - capacity of single neuron • h(x) = g(a(x)) = g(bi i wixi) Abstract Add to Reading List Source URL: dl.dropboxusercontent.com
190	Neural networks Training CRFs - loss function Training CRFs Training CRFs Add to Reading List Source URL: dl.dropboxusercontent.com

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