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Online Learning for DNN Training: A Stochastic Block Adaptive Gradient Algorithm
Adaptive algorithms are widely used because of their fast convergence rate for training deep neural networks (DNNs). However, the training cost becomes prohibitively expensive due to the computation of the full gradient when training complicated DNN. To reduce the computational cost, we present a st...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184190/ https://www.ncbi.nlm.nih.gov/pubmed/35694581 http://dx.doi.org/10.1155/2022/9337209 |