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Memory capacity of neural networks with threshold and ReLU activations

Memory capacity of neural networks with threshold and ReLU activations

Roman Vershynin
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Papers citing "Memory capacity of neural networks with threshold and ReLU activations"

4 / 4 papers shown
Title
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
68
168
0
19 Dec 2019
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound
Zhao Song
Xin Yang
38
91
0
09 Jun 2019
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou
Yuan Cao
Dongruo Zhou
Quanquan Gu
ODL
119
448
0
21 Nov 2018
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Yuanzhi Li
Yingyu Liang
MLT
120
652
0
03 Aug 2018

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