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» Deep learning via Hessian-free optimization
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JMLR
2012
13 years 2 months ago
Krylov Subspace Descent for Deep Learning
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
83
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ICML
2010
IEEE
15 years 29 days ago
Deep learning via Hessian-free optimization
James Martens