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== Referenz ==
Krizhevsky, A., Sutskever, I., Hinton, G.E.: [[Imagenet classification with deep convolutional neural networks]]. In: Advances in neural information processing systems. (2012) 1097-1105

== DOI ==

== Abstract ==
We trained a large, deep convolutional neural network to classify the 1.3 million high-resolution images in the LSVRC-2010 ImageNet training set into the 1000 different classes. On the test data, we achieved top-1 and top-5 error rates of 39.7\% and 18.9\% which is considerably better than the previous state-of-the-art results. The neural network, which has 60 million parameters and 500,000 neurons, consists of five convolutional layers, some of which are followed by max-pooling layers, and two globally connected layers with a final 1000-way softmax. To make training faster, we used non-saturating neurons and a very efficient GPU implementation of convolutional nets. To reduce overfitting in the globally connected layers we employed a new regularization method that proved to be very effective.

== Extended Abstract ==

== Bibtex ==
@incollection{NIPS2012_4824,
title = {ImageNet Classification with Deep Convolutional Neural Networks},
author = {Alex Krizhevsky and Sutskever, Ilya and Geoffrey E. Hinton},
booktitle = {Advances in Neural Information Processing Systems 25},
editor = {F. Pereira and C. J. C. Burges and L. Bottou and K. Q. Weinberger},
pages = {1097--1105},
year = {2012},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf http://de.evo-art.org/index.php?title=Imagenet_classification_with_deep_convolutional_neural_networks}
}

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== Links ==

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

[[internal file]]

=== Sonstige Links ===
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.205

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Imagenet classification with deep convolutional neural networks - Versionsgeschichte

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Gubachelier: Die Seite wurde neu angelegt: „ == Referenz == Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in neural info…“