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The top documents tagged [backpropagation slide]
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Copyright 2003 AACS Idaho State University E. S. Lohse, PhD
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C. Schou, PhD
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D. Sammons, EdD
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R. Schlader,
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Greedy Layer-Wise Training of Deep Networks Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle NIPS 2007 Presented by Ahmed Hefny
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Analysis of Classification Algorithms in Handwriting Pattern Recognition Logan Helms Jon Daniele
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Techniques for the analysis of GM structure: VBM, DBM, cortical thickness Jason Lerch
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Supervised learning 1.Early learning algorithms 2.First order gradient methods 3.Second order gradient methods
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1 Chapter 11 Neural Networks. 2 Chapter 11 Contents (1) l Biological Neurons l Artificial Neurons l Perceptrons l Multilayer Neural Networks l Backpropagation
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Supervised Learning: Perceptrons and Backpropagation
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