Implementing Cyclical Learning Rates in Deep Learning Models for Data Classification
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62871-9_16
Reference34 articles.
1. Smith, L.N.: Cyclical learning rates for training neural networks. In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 464–472. IEEE, Santa Rosa, CA, USA (2017)
2. Waziry, S., Wardak, A.B., Rasheed, J., Shubair, R.M., Rajab, K., Shaikh, A.: Performance comparison of machine learning driven approaches for classification of complex noises in quick response code images. Heliyon 9(4), e15108 (2023)
3. Xu, A., Chang, H., Xu, Y., Li, R., Li, X., Zhao, Y.: Applying artificial neural networks (ANNs) to solve solid waste-related issues: a critical review. Waste Manag. 124, 385–402 (2021)
4. Al-Khamees, H.A.A., Al-A’araji, N., Al-Shamery, E.S.: Enhancing the stability of the deep neural network using a non-constant learning rate for data stream. Int. J. Electr. Comput. Eng. (IJECE) 13(5), 2123–2130 (2023)
5. Kaya, E.: A new neural network training algorithm based on artificial bee colony algorithm for nonlinear system identification. Mathematics 10(19), 3487 (2022)
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