DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS
Ph.D
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/186064 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
id |
sg-nus-scholar.10635-186064 |
---|---|
record_format |
dspace |
spelling |
sg-nus-scholar.10635-1860642021-02-02T13:18:20Z DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS ZHANG SHIJUN MATHEMATICS Zuowei Shen Yang Haizhao Function Composition, Deep Neural Network, Approximation Theory, Floor or ReLU Activation Function, Exponential Convergence, Polynomial Approximation Ph.D DOCTOR OF PHILOSOPHY (FOS) 2021-02-01T18:01:37Z 2021-02-01T18:01:37Z 2020-08-04 Thesis ZHANG SHIJUN (2020-08-04). DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/186064 0000-0003-4115-7891 en |
institution |
National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
Function Composition, Deep Neural Network, Approximation Theory, Floor or ReLU Activation Function, Exponential Convergence, Polynomial Approximation |
spellingShingle |
Function Composition, Deep Neural Network, Approximation Theory, Floor or ReLU Activation Function, Exponential Convergence, Polynomial Approximation ZHANG SHIJUN DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS |
description |
Ph.D |
author2 |
MATHEMATICS |
author_facet |
MATHEMATICS ZHANG SHIJUN |
format |
Theses and Dissertations |
author |
ZHANG SHIJUN |
author_sort |
ZHANG SHIJUN |
title |
DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS |
title_short |
DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS |
title_full |
DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS |
title_fullStr |
DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS |
title_full_unstemmed |
DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS |
title_sort |
deep neural network approximation via function compositions |
publishDate |
2021 |
url |
https://scholarbank.nus.edu.sg/handle/10635/186064 |
_version_ |
1690655470480523264 |