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A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
, Rong Ge
,
Chi Jin
Electrical and Computer Engineering
Princeton Language and Intelligence (PLI)
Research output
:
Contribution to journal
›
Conference article
›
peer-review
26
Scopus citations
Overview
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Dive into the research topics of 'A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network'. Together they form a unique fingerprint.
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Computer Science
Neural Network
100%
Layer Neural Network
100%
Local Optimization
33%
Convergence Rate
33%
Mathematics
Neural Network
100%
Local Convergence
100%
Polynomial
20%
Convergence Rate
20%
Neural Net
20%
Keyphrases
Łojasiewicz Property
25%
PL Condition
25%