(Q30077834)

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Imagenet classification with deep convolutional neural networks

scholarly article from the NIPS conference

ImageNet Classification with Deep Convolutional Neural Networks

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scholarly article

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title

ImageNet Classification with Deep Convolutional Neural Networks (English)

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artificial neural network

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based on heuristic

inferred from title

convolutional neural network

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1

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Ilya Sutskever

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2

object named as

Ilya Sutskever

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Geoffrey Hinton

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3

object named as

Geoffrey E. Hinton

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language of work or name

English

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publication date

2012

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number of pages

9

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official website

https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks

language of work or name

English

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full work available at URL

https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf

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published in

Advances in Neural Information Processing Systems 25

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page(s)

1097-1105

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describes a project that uses

ImageNet

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different from

ImageNet classification with deep convolutional neural networks

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inferred from

ImageNet classification with deep convolutional neural networks

cites work

Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests

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Multi-column Deep Neural Networks for Image Classification

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ImageNet: A large-scale hierarchical image database

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Handwritten Digit Recognition with a Back-Propagation Network

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Why is real-world visual object recognition hard?

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A high-throughput screening approach to discovering good forms of biologically inspired visual representation

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Convolutional networks can learn to generate affinity graphs for image segmentation.

(Q30077834)

Imagenet classification with deep convolutional neural networks

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