A modified Adam algorithm for deep neural network optimization
CC BY
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| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00521-023-08568-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8343 |
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oai:localhost:PNK-83432023-04-27T01:47:28Z A modified Adam algorithm for deep neural network optimization Mohamed, Reyad Amany M., Sarhan M., Arafa DNNs HN Adam CC BY Deep Neural Networks (DNNs) are widely regarded as the most effective learning tool for dealing with large datasets, and they have been successfully used in thousands of applications in a variety of fields. Based on these large datasets, they are trained to learn the relationships between various variables. The adaptive moment estimation (Adam) algorithm, a highly efficient adaptive optimization algorithm, is widely used as a learning algorithm in various fields for training DNN models. However, it needs to improve its generalization performance, especially when training with large-scale datasets. Therefore, in this paper, we propose HN Adam, a modified version of the Adam Algorithm, to improve its accuracy and convergence speed. The HN_Adam algorithm is modified by automatically adjusting the step size of the parameter updates over the training epochs. 2023-04-27T01:47:28Z 2023-04-27T01:47:28Z 2023 Book https://link.springer.com/article/10.1007/s00521-023-08568-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8343 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
DNNs HN Adam |
| spellingShingle |
DNNs HN Adam Mohamed, Reyad Amany M., Sarhan M., Arafa A modified Adam algorithm for deep neural network optimization |
| description |
CC BY |
| format |
Book |
| author |
Mohamed, Reyad Amany M., Sarhan M., Arafa |
| author_facet |
Mohamed, Reyad Amany M., Sarhan M., Arafa |
| author_sort |
Mohamed, Reyad |
| title |
A modified Adam algorithm for deep neural network optimization |
| title_short |
A modified Adam algorithm for deep neural network optimization |
| title_full |
A modified Adam algorithm for deep neural network optimization |
| title_fullStr |
A modified Adam algorithm for deep neural network optimization |
| title_full_unstemmed |
A modified Adam algorithm for deep neural network optimization |
| title_sort |
modified adam algorithm for deep neural network optimization |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s00521-023-08568-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8343 |
| _version_ |
1764358630082084864 |
| score |
8.887836 |