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doi.org/10.1016/j.neunet.2017.07.002
Error bounds for approximations with deep ReLU networks
Dmitry Yarotsky
15
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Neural Networks
6.30
Volume: 94, Pages: 103 - 114
Published
: Jul 13, 2017
682
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Paper Fields
Deep learning
Pure mathematics
Lipschitz continuity
Mathematics
Sobolev space
Algorithm
Approximation error
Mathematical analysis
Artificial intelligence
Network architecture
Approximations of π
Computer science
Applied mathematics
Computer security
Artificial neural network
Upper and lower bounds
Paper Details
Title
Error bounds for approximations with deep ReLU networks
DOI
doi.org/10.1016/j.neunet.2017.07.002
Published Date
Jul 13, 2017
Journal
Neural Networks
Volume
94
Pages
103 - 114
Notes
History
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