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Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU
  Neural Networks

Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks

25 November 2021
T. Getu
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Papers citing "Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks"

3 / 3 papers shown
Title
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
T. Getu
Georges Kaddoum
M. Bennis
32
1
0
13 Sep 2023
Representing smooth functions as compositions of near-identity functions
  with implications for deep network optimization
Representing smooth functions as compositions of near-identity functions with implications for deep network optimization
Peter L. Bartlett
S. Evans
Philip M. Long
68
31
0
13 Apr 2018
Understanding Autoencoders with Information Theoretic Concepts
Understanding Autoencoders with Information Theoretic Concepts
Shujian Yu
José C. Príncipe
AI4CE
44
132
0
30 Mar 2018
1