Enhancing Performance of a Deep Neural Network: A Comparative Analysis of Optimization Algorithms
Adopting the most suitable optimization algorithm (optimizer) for a Neural Network Model is among the most important ventures in Deep Learning and all classes of Neural Networks. It’s a case of trial and error experimentation. In this paper, we will experiment with seven of the most popular optimiza...
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| Format: | Article |
| Language: | English |
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Ediciones Universidad de Salamanca
2020-06-01
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| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
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| Online Access: | https://revistas.usal.es/index.php/2255-2863/article/view/23727 |