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Theory of Deep Convolutional Neural Networks II: Spherical Analysis

Theory of Deep Convolutional Neural Networks II: Spherical Analysis

28 July 2020
Zhiying Fang
Han Feng
Shuo Huang
Ding-Xuan Zhou
ArXivPDFHTML

Papers citing "Theory of Deep Convolutional Neural Networks II: Spherical Analysis"

6 / 6 papers shown
Title
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces
Yuwen Li
Guozhi Zhang
43
1
0
20 Jan 2025
Expressivity and Approximation Properties of Deep Neural Networks with
  ReLU$^k$ Activation
Expressivity and Approximation Properties of Deep Neural Networks with ReLUk^kk Activation
Juncai He
Tong Mao
Jinchao Xu
37
3
0
27 Dec 2023
Rates of Approximation by ReLU Shallow Neural Networks
Rates of Approximation by ReLU Shallow Neural Networks
Tong Mao
Ding-Xuan Zhou
26
19
0
24 Jul 2023
Approximation analysis of CNNs from a feature extraction view
Approximation analysis of CNNs from a feature extraction view
Jianfei Li
Han Feng
Ding-Xuan Zhou
24
3
0
14 Oct 2022
Theory of Deep Convolutional Neural Networks III: Approximating Radial
  Functions
Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions
Tong Mao
Zhongjie Shi
Ding-Xuan Zhou
16
33
0
02 Jul 2021
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions
  with $ \ell^1 $ and $ \ell^0 $ Controls
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with ℓ1 \ell^1 ℓ1 and ℓ0 \ell^0 ℓ0 Controls
Jason M. Klusowski
Andrew R. Barron
130
142
0
26 Jul 2016
1