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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |