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Neural Network Simulation
Known as:
Neural Networks (Computer)
, Network, Neural (Computer)
, Perceptrons
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A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which…
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National Institutes of Health
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Related topics
Related topics
2 relations
Artificial Intelligence
computational neuroscience
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2020
Highly Cited
2020
Focal Loss for Dense Object Detection
Tsung-Yi Lin
,
Priya Goyal
,
Ross B. Girshick
,
Kaiming He
,
Piotr Dollár
IEEE Transactions on Pattern Analysis and Machine…
2020
Corpus ID: 47252984
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is…
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Highly Cited
2018
Highly Cited
2018
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
,
G. Papandreou
,
Iasonas Kokkinos
,
K. Murphy
,
A. Yuille
IEEE Transactions on Pattern Analysis and Machine…
2018
Corpus ID: 3429309
In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are…
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Highly Cited
2017
Highly Cited
2017
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva
,
Brett Kuprel
,
+4 authors
S. Thrun
Nature
2017
Corpus ID: 3767412
Skin cancer, the most common human malignancy, is primarily diagnosed visually, beginning with an initial clinical screening and…
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Highly Cited
2016
Highly Cited
2016
Mastering the game of Go with deep neural networks and tree search
David Silver
,
Aja Huang
,
+17 authors
D. Hassabis
Nature
2016
Corpus ID: 515925
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous…
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Highly Cited
2015
Highly Cited
2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
,
Kaiming He
,
Ross B. Girshick
,
Jian Sun
IEEE Transactions on Pattern Analysis and Machine…
2015
Corpus ID: 10328909
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like…
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Review
2015
Review
2015
Deep Learning
Ian J. Goodfellow
,
Yoshua Bengio
,
Aaron C. Courville
Nature
2015
Corpus ID: 3074096
Machine-learning technology powers many aspects of modern society: from web searches to content filtering on social networks to…
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Highly Cited
2007
Highly Cited
2007
Classification and Regression by randomForest
Andy Liaw
,
M. Wiener
2007
Corpus ID: 3093707
Recently there has been a lot of interest in “ensemble learning” — methods that generate many classifiers and aggregate their…
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Highly Cited
2006
Highly Cited
2006
Reducing the Dimensionality of Data with Neural Networks
Geoffrey E. Hinton
,
R. Salakhutdinov
Science
2006
Corpus ID: 1658773
High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network with a small central…
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Review
1998
Review
1998
Gradient-based learning applied to document recognition
Yann LeCun
,
L. Bottou
,
Yoshua Bengio
,
P. Haffner
Proc. IEEE
1998
Corpus ID: 14542261
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based…
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Highly Cited
1990
Highly Cited
1990
Identification and control of dynamical systems using neural networks
K. Narendra
,
K. Parthasarathy
IEEE Trans. Neural Networks
1990
Corpus ID: 10127893
It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems…
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