Improving classification accuracy of fine-tuned CNN models: Impact of hyperparameter optimization

Improving classification accuracy of fine-tuned CNN models: Impact of hyperparameter optimization

The immense popularity of convolutional neural network (CNN) models has sparked a growing interest in optimizing their hyperparameters. Discovering the ideal values for hyperparameters to achieve optimal CNN training is a complex and time-consuming task, often requiring repetitive numerical experime...

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Bibliographic Details
Main Authors: Mikolaj Wojciuk, Zaneta Swiderska-Chadaj, Krzysztof Siwek, Arkadiusz Gertych
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Optimization
Hyperparameters
Fine-tuning
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024026173

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http://www.sciencedirect.com/science/article/pii/S2405844024026173

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