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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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2024-03-01
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| coleção: | Heliyon |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2405844024026173 |
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