Optimizing Image Classification: Automated Deep Learning Architecture Crafting with Network and Learning Hyperparameter Tuning

This study introduces ETLBOCBL-CNN, an automated approach for optimizing convolutional neural network (CNN) architectures to address classification tasks of varying complexities. ETLBOCBL-CNN employs an effective encoding scheme to optimize network and learning hyperparameters, enabling the discover...

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Detalles Bibliográficos
Autores principales: Ang, Koon Meng, Lim, Wei Hong, Tiang, Sew Sun, Sharma, Abhishek, Eid, Marwa M., Tawfeek, Sayed M., Khafaga, Doaa Sami, Alharbi, Amal H., Abdelhamid, Abdelaziz A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669013/
https://www.ncbi.nlm.nih.gov/pubmed/37999166
http://dx.doi.org/10.3390/biomimetics8070525

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669013/
https://www.ncbi.nlm.nih.gov/pubmed/37999166
http://dx.doi.org/10.3390/biomimetics8070525

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