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A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers
Because deep neural networks (DNNs) are both memory-intensive and computation-intensive, they are difficult to apply to embedded systems with limited hardware resources. Therefore, DNN models need to be compressed and accelerated. By applying depthwise separable convolutions, MobileNet can decrease...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416240/ https://www.ncbi.nlm.nih.gov/pubmed/32802028 http://dx.doi.org/10.1155/2020/8817849 |