Adam Optimization Algorithm  for Wide and Deep Neural Network

doi:10.17977/um018v2i12019p41-46

Adam Optimization Algorithm for Wide and Deep Neural Network

2019-06-23

0

OA

AI

DOI：10.17977/um018v2i12019p41-46

原文链接

原文求助

摘要

En 中文

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.

Adam Optimization Algorithm for Wide and Deep Neural Network

摘要

期刊

机构

引用论文