[PDF][PDF] Deep Sparse Rectifier Neural Networks.

Abstract While logistic sigmoid neurons are more biologically plausible than hyperbolic
tangent neurons, the latter work better for training multi-layer neural networks. This paper
shows that rectifying neurons are an even better model of biological neurons and yield ...

[PDF][PDF] Deep Sparse Rectifier Neural Networks

X Glorot, A Bordes, Y Bengio - dosen.narotama.ac.id
Abstract While logistic sigmoid neurons are more biologically plausible than hyperbolic
tangent neurons, the latter work better for training multi-layer neural networks. This paper
shows that rectifying neurons are an even better model of biological neurons and yield ...

[PDF][PDF] Deep Sparse Rectifier Neural Networks

X Glorot, A Bordes, Y Bengio - International …, 2011 - machinelearning.wustl.edu
Abstract While logistic sigmoid neurons are more biologically plausible than hyperbolic
tangent neurons, the latter work better for training multi-layer neural networks. This paper
shows that rectifying neurons are an even better model of biological neurons and yield ...

[CITATION][C] Deep Sparse Rectifier Neural Networks

X Glorot, A Bordes, Y Bengio - … International Conference on …, 2011 - hal.archives-ouvertes.fr
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[PDF][PDF] Deep Sparse Rectifier Neural Networks

X Glorot, A Bordes, Y Bengio - ailab.jbnu.ac.kr
Abstract While logistic sigmoid neurons are more biologically plausible than hyperbolic
tangent neurons, the latter work better for training multi-layer neural networks. This paper
shows that rectifying neurons are an even better model of biological neurons and yield ...

[PDF][PDF] Deep Sparse Rectifier Neural Networks

X Glorot, A Bordes, Y Bengio - jmlr.csail.mit.edu
Abstract While logistic sigmoid neurons are more biologically plausible than hyperbolic
tangent neurons, the latter work better for training multi-layer neural networks. This paper
shows that rectifying neurons are an even better model of biological neurons and yield ...

[PDF][PDF] Deep Sparse Rectifier Neural Networks

X Glorot, A Bordes, Y Bengio - utc.fr
Abstract While logistic sigmoid neurons are more biologically plausible than hyperbolic
tangent neurons, the latter work better for training multi-layer neural networks. This paper
shows that rectifying neurons are an even better model of biological neurons and yield ...

[PDF][PDF] Deep Sparse Rectifier Neural Networks

X Glorot, A Bordes, Y Bengio - mfile.narotama.ac.id
Abstract While logistic sigmoid neurons are more biologically plausible than hyperbolic
tangent neurons, the latter work better for training multi-layer neural networks. This paper
shows that rectifying neurons are an even better model of biological neurons and yield ...

Deep Sparse Rectifier Neural Networks

X Glorot, A Bordes, Y Bengio - jmlr.org
Abstract While logistic sigmoid neurons are more biologically plausible than hyperbolic
tangent neurons, the latter work better for training multi-layer neural networks. This paper
shows that rectifying neurons are an even better model of biological neurons and yield ...

[PDF][PDF] Deep Sparse Rectifier Neural Networks

X Glorot, A Bordes, Y Bengio - hds.utc.fr
Abstract While logistic sigmoid neurons are more biologically plausible than hyperbolic
tangent neurons, the latter work better for training multi-layer neural networks. This paper
shows that rectifying neurons are an even better model of biological neurons and yield ...