Improving neural network training using dynamic learning rate schedule for PINNs and image classification

Training neural networks can be challenging, especially as the complexity of the problem increases. Despite using wider or deeper networks, training them can be a tedious process, especially if a wrong choice of the hyperparameter is made. The learning rate is one of such crucial hyperparameters, wh...

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Bibliographic Details

Published in:	Machine Learning with Applications
Main Authors:	Veerababu Dharanalakota, Ashwin Arvind Raikar, Prasanta Kumar Ghosh
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Adaptive learning Multilayer perceptron CNN MNIST CIFAR-10
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666827025000805