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Hardness of learning neural networks with natural weights
Amit Daniely
, Gal Vardi
The Rachel and Selim Benin School of Engineering and Computer Science
Research output
:
Contribution to journal
›
Conference article
›
peer-review
8
Scopus citations
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Dive into the research topics of 'Hardness of learning neural networks with natural weights'. Together they form a unique fingerprint.
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Keyphrases
Efficient Learning
100%
Learning Neural Network
100%
Hardness of Learning
100%
Hardness Results
66%
Generic Property
66%
Network Weight
66%
Weight Distribution
33%
Neural Network
33%
High Probability
33%
Uniform Distribution
33%
Learning Algorithm
33%
Random Networks
33%
Network Architecture
33%
Input Distribution
33%
Well-behaved
33%
Natural Approach
33%
Mathematics
Neural Network
100%
Generic Property
100%
Network Weight
100%
Weight Distribution
50%
Probability Theory
50%
Uniform Distribution
50%
Computer Science
Neural Network
100%
Uniform Distribution
50%
Learning Algorithm
50%
Random Network
50%
Network Architecture
50%
Input Distribution
50%
Chemical Engineering
Neural Network
100%