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Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks Amr Ahmed1, , Kai Yu2 , Wei Xu2 , Yihong Gong2 , and Eric Xing1 1 2
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Document Date: 2008-09-10 00:18:30

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File Size: 1,30 MB

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City

Cupertino / /

Company

Convolutional Neural Networks / NEC Labs America / /

Currency

pence / /

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Facility

Carnegie Mellon University / /

IndustryTerm

neural networks / trainable vision systems / online stochastic gradient descent algorithm / deep belief networks / wider applications / neural network / backpropagation algorithm / generic neural network / back-propagation algorithm / online stochastic gradient algorithm / layer-wise greedy algorithm / /

MarketIndex

EGX 30 / set 300 / /

Organization

School of Computer Science / Carnegie Mellon University / /

Position

author / feature extractor / multilayered feature extractor / feed-forward / Training Hierarchical Feed-Forward / /

ProvinceOrState

California / /

Technology

back-propagation algorithm / layer-wise greedy algorithm / online stochastic gradient algorithm / Neural Network / backpropagation algorithm / online stochastic gradient descent algorithm / /

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