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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Autors principals:	Mikolaj Wojciuk, Zaneta Swiderska-Chadaj, Krzysztof Siwek, Arkadiusz Gertych
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-03-01
Col·lecció:	Heliyon
Matèries:	Optimization Hyperparameters Fine-tuning Deep learning
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2405844024026173
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