Deep learning via Hessianfree optimization James Martens JMARTENS CS TORONTO EDU University of Toronto Ontario MS A Canada Abstract We develop a nd order optimization method based on the Hessianfree - Description

Without using pretraining we obtain results superior to those reported by Hinton Salakhutdinov 2006 on the same tasks they considered Our method is practical easy to use scales nicely to very large datasets and isnt limited in applicability to aut ID: 12445 Download Pdf

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Deep learning via Hessianfree optimization James Martens JMARTENS CS TORONTO EDU University of Toronto Ontario MS A Canada Abstract We develop a nd order optimization method based on the Hessianfree

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Without using pretraining we obtain results superior to those reported by Hinton Salakhutdinov 2006 on the same tasks they considered Our method is practical easy to use scales nicely to very large datasets and isnt limited in applicability to aut

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Deep learning via Hessianfree optimization James Martens JMARTENS CS TORONTO EDU University of Toronto Ontario MS A Canada Abstract We develop a nd order optimization method based on the Hessianfree






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