Designing optimal convolutional neural network architecture using differential evolution algorithm

Convolutional neural networks (CNNs) are deep learning models used widely for solving various tasks like computer vision and speech recognition. CNNs are developed manually based on problem-specific domain knowledge and tricky settings, which are laborious, time consuming, and challenging. To solve...

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Detalles Bibliográficos
Autores principales: Ghosh, Arjun, Jana, Nanda Dulal, Mallik, Saurav, Zhao, Zhongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481963/
https://www.ncbi.nlm.nih.gov/pubmed/36124301
http://dx.doi.org/10.1016/j.patter.2022.100567

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481963/
https://www.ncbi.nlm.nih.gov/pubmed/36124301
http://dx.doi.org/10.1016/j.patter.2022.100567

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