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Optimization of CNN through Novel Training Strategy for Visual Classification Problems
The convolution neural network (CNN) has achieved state-of-the-art performance in many computer vision applications e.g., classification, recognition, detection, etc. However, the global optimization of CNN training is still a problem. Fast classification and training play a key role in the developm...
Guardat en:
| Publicat a: | Entropy (Basel) |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512808/ https://ncbi.nlm.nih.gov/pubmed/33265381 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20040290 |
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