Adam optimization algorithm for wide and deep neural network

The objective of this research is to evaluate the effects of Adam when used together with a wide and deep neural network. The dataset used was a diagnostic breast cancer dataset taken from UCI Machine Learning. Then, the dataset was fed into a conventional neural network for a benchmark...

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Main Authors:	Mohd Jais, Imran Khan, Ismail, Amelia Ritahani, Syed, Qamrun Nisa
Format:	Article
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/77293/ http://irep.iium.edu.my/77293/1/Adam%20Optimization%20Algorithm%20for%20Wide%20and%20Deep%20Neural%20Network.pdf

id	iium-77293
recordtype	eprints
spelling	iium-772932020-01-08T08:13:21Z http://irep.iium.edu.my/77293/ Adam optimization algorithm for wide and deep neural network Mohd Jais, Imran Khan Ismail, Amelia Ritahani Syed, Qamrun Nisa QA75 Electronic computers. Computer science The objective of this research is to evaluate the effects of Adam when used together with a wide and deep neural network. The dataset used was a diagnostic breast cancer dataset taken from UCI Machine Learning. Then, the dataset was fed into a conventional neural network for a benchmark test. Afterwards, the dataset was fed into the wide and deep neural network with and without Adam. It was found that there were improvements in the result of the wide and deep network with Adam. In conclusion, Adam is able to improve the performance of a wide and deep neural network. 2019-06 Article NonPeerReviewed application/pdf en http://irep.iium.edu.my/77293/1/Adam%20Optimization%20Algorithm%20for%20Wide%20and%20Deep%20Neural%20Network.pdf Mohd Jais, Imran Khan and Ismail, Amelia Ritahani and Syed, Qamrun Nisa (2019) Adam optimization algorithm for wide and deep neural network. Knowledge Engineering and Data Science (KEDS), 2 (1). pp. 41-46. ISSN 2597-4602 E-ISSN 2597-4637
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Mohd Jais, Imran Khan Ismail, Amelia Ritahani Syed, Qamrun Nisa Adam optimization algorithm for wide and deep neural network
description	The objective of this research is to evaluate the effects of Adam when used together with a wide and deep neural network. The dataset used was a diagnostic breast cancer dataset taken from UCI Machine Learning. Then, the dataset was fed into a conventional neural network for a benchmark test. Afterwards, the dataset was fed into the wide and deep neural network with and without Adam. It was found that there were improvements in the result of the wide and deep network with Adam. In conclusion, Adam is able to improve the performance of a wide and deep neural network.
format	Article
author	Mohd Jais, Imran Khan Ismail, Amelia Ritahani Syed, Qamrun Nisa
author_facet	Mohd Jais, Imran Khan Ismail, Amelia Ritahani Syed, Qamrun Nisa
author_sort	Mohd Jais, Imran Khan
title	Adam optimization algorithm for wide and deep neural network
title_short	Adam optimization algorithm for wide and deep neural network
title_full	Adam optimization algorithm for wide and deep neural network
title_fullStr	Adam optimization algorithm for wide and deep neural network
title_full_unstemmed	Adam optimization algorithm for wide and deep neural network
title_sort	adam optimization algorithm for wide and deep neural network
publishDate	2019
url	http://irep.iium.edu.my/77293/ http://irep.iium.edu.my/77293/1/Adam%20Optimization%20Algorithm%20for%20Wide%20and%20Deep%20Neural%20Network.pdf
first_indexed	2023-09-18T21:49:01Z
last_indexed	2023-09-18T21:49:01Z
_version_	1777413644037914624

Adam optimization algorithm for wide and deep neural network

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