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Deep learning via Hessian-free optimization
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JMLR
2012
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Krylov Subspace Descent for Deep Learning
11 years 9 months ago
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jmlr.csail.mit.edu
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
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ICML
2010
IEEE
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Machine Learning
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Deep learning via Hessian-free optimization
13 years 8 months ago
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James Martens
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