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نمایش تعداد 1-10 از 34

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

نوع: Journal Paper

نویسنده : Benjamin Scellier; Yoshua Bengio

سال: 2017

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Equivalence of Equilibrium Propagation and Recurrent Backpropagation

نوع: Journal Paper

نویسنده : Benjamin Scellier; Yoshua Bengio

سال: 2019

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Classification using discriminative restricted Boltzmann machines

نوع: Journal Paper

نویسنده : Hugo Larochelle; Yoshua Bengio

سال: 2008

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Justifying and Generalizing Contrastive Divergence

نوع: Journal Paper

نویسنده : Yoshua Bengio; Olivier Delalleau

سال: 2009

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Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

نوع: Journal Paper

نویسنده : Yoshua Bengio; Honglak Lee

سال: 2015

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AdaBoosting neural networks: Application to on-line character recognition

نوع: Journal Paper

نویسنده : Holger Schwenk; Yoshua Bengio

سال: 1997

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Pattern Recognition and Neural Networks

نوع: Ebook

نویسنده : Yann LeCun; Yoshua Bengio

سال: 1995

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Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

نوع: Journal Paper

نویسنده : Nicolas Le Roux; Yoshua Bengio

سال: 2008

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Deep Belief Networks Are Compact Universal Approximators

نوع: Journal Paper

نویسنده : Nicolas Le Roux; Yoshua Bengio

سال: 2010

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High-dimensional sequence transduction

نوع: Journal Paper

نویسنده : Nicolas Boulanger-Lewandowski; Yoshua Bengio; Pascal Vincent

سال: 2013

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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Classification using discriminative restricted Boltzmann machines

Justifying and Generalizing Contrastive Divergence

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

AdaBoosting neural networks: Application to on-line character recognition

Pattern Recognition and Neural Networks

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

Deep Belief Networks Are Compact Universal Approximators

High-dimensional sequence transduction

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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Classification using discriminative restricted Boltzmann machines

Justifying and Generalizing Contrastive Divergence

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

AdaBoosting neural networks: Application to on-line character recognition

Pattern Recognition and Neural Networks

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

Deep Belief Networks Are Compact Universal Approximators

High-dimensional sequence transduction