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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/77293/ http://irep.iium.edu.my/77293/1/77293_Adam%20optimization%20algorithm%20for%20wide.pdf |
| _version_ | 1848788414730600448 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:40:27Z |
| format | Article |
| id | iium-77293 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:40:27Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-772932024-01-02T02:57:17Z 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/77293/1/77293_Adam%20optimization%20algorithm%20for%20wide.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 |
| 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 |
| title | 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_short | Adam optimization algorithm for wide and deep neural network |
| title_sort | adam optimization algorithm for wide and deep neural network |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/77293/ http://irep.iium.edu.my/77293/1/77293_Adam%20optimization%20algorithm%20for%20wide.pdf |