Name
Title | ||
|---|---|---|
Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment. |
Abstract | ||
|---|---|---|
This paper studies the effect of various hyper-parameters and their selection for the best performance of the deep learning model proposed in [1] for distributed attack detection in the Internet of Things (IoT). The findings show that there are three hyper-parameters that have more influence on the best performance achieved by the model. As a consequence, this study shows that the modelu0027s accuracy as reported in the paper is not achievable, based on the best selections of parameters, which is also supported by another recent publication [2]. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Learning | Hyperparameter,Internet of Things,Artificial intelligence,Deep learning,Machine learning,Mathematics |
DocType | Volume | Citations |
Journal | abs/1806.07057 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Md Mohaimenuzzaman | 1 | 0 | 0.34 |
| Zahraa Said Abdallah | 2 | 88 | 6.20 |
| Joarder Kamruzzaman | 3 | 410 | 49.22 |
| Bala Srinivasan | 4 | 1076 | 191.20 |