An Empirical Study of the Performance of Different Optimizers in the Deep Neural Networks

Author:

Zohrevand Abbas1,Imani Zahra1

Affiliation:

1. Kosar University of Bojnord,Computer Engineering Department,Bojnord,Iran

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning rate burst for superior SGDM and AdamW integration;Journal of Intelligent & Fuzzy Systems;2024-03-22

2. Analysis of Hyperparameters for Workout Movements Classification Using the Convolutional Neural Network Algorithm;Lecture Notes in Electrical Engineering;2024

3. Research on joint optimizer for point cloud classification;2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA);2023-08-18

4. Super-resolution Reconstruction and Denoising of 3D Millimetre-wave Images using a Complex-valued Convolutional Neural Network;2023 17th European Conference on Antennas and Propagation (EuCAP);2023-03-26

5. Effect of Magnitude and Phase of Millimeter-wave Images on Classification Accuracy;2023 17th European Conference on Antennas and Propagation (EuCAP);2023-03-26

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