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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
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Contribution to journal
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Conference article
›
peer-review
11
Scopus citations
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Keyphrases
Hardness Results
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Generic Property
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Network Weight
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Learning Neural Network
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Hardness of Learning
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Efficient Learning
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Weight Distribution
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Neural Network
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High Probability
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Uniform Distribution
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Random Networks
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Network Architecture
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Input Distribution
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Well-behaved
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Natural Approach
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World Networks
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Efficient Learning Algorithm
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Mathematics
Neural Network
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Generic Property
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Network Weight
100%
Weight Distribution
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Uniform Distribution
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Probability
50%
Computer Science
Neural Network
100%
Uniform Distribution
50%
Learning Algorithm
50%
Random Network
50%
Network Architecture
50%
Input Distribution
50%