Skip to main navigation
Skip to search
Skip to main content
The Hebrew University of Jerusalem Home
Approve / Request updates on publications
Home
Profiles
Research units
Research output
Prizes
Search by expertise, name or affiliation
SGD learns the Conjugate Kernel class of the network
Amit Daniely
*
*
Corresponding author for this work
The Rachel and Selim Benin School of Engineering and Computer Science
Research output
:
Contribution to journal
›
Conference article
›
peer-review
84
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'SGD learns the Conjugate Kernel class of the network'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Polynomial Time
100%
Kernel Classes
100%
Stochastic Gradient Decent
100%
Conjugate Kernels
100%
Polynomial Degree
25%
Neural Network
25%
Constant Degree
25%
Continuous Function
25%
Polynomially Bounded
25%
Neural Network Algorithm
25%
Kernel Space
25%
Rich Family
25%
Bounded Coefficients
25%
Standard Neural Network
25%
Gradient Decent Algorithm
25%
Computer Science
Polynomial Time
100%
Neural Network
50%
Learning Algorithm
25%
Degree Polynomial
25%
Continuous Function
25%