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Jais, Imran Khan Mohd
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Computer Science & IT Engineering

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Adam Optimization Algorithmfor Wide and Deep Neural Network Jais, Imran Khan Mohd; Ismail, Amelia Ritahani
Knowledge Engineering and Data Science
Publisher : citeus

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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.
Co-Authors Ismail, Amelia Ritahani