Adam optimization algorithm for wide and deep neural network

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	4296/77293
Uncontrolled Keywords:	wide and deep network, neural network, adam algorithm breast cancer dataset
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Amelia Ritahani Ismail
Date Deposited:	08 Jan 2020 16:13
Last Modified:	02 Jan 2024 10:57
URI:	http://irep.iium.edu.my/id/eprint/77293

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