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Lipschitz properties for deep convolutional networks
Radu Balan
, Maneesh Singh
, Dongmian Zou
School of Mathematics
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
15
Scopus citations
59
Downloads (Pure)
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Dive into the research topics of 'Lipschitz properties for deep convolutional networks'. Together they form a unique fingerprint.
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Keyphrases
Lipschitz Property
100%
Convolutional Neural Network
100%
Deep Convolutional Network
100%
Machine Learning
50%
Small Changes
50%
Input Signals
50%
Stability Properties
50%
Stability Results
50%
Feature Vector
50%
Similar Features
50%
Feature Extractor
50%
Lipschitz Bounds
50%
General Network
50%
Mathematics
Lipschitz Property
100%
Convolutional Neural Network
100%
Stability Result
50%
Input Signal
50%
Feature Vector
50%