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Low-Rank Deep Convolutional Neural Network for Multitask Learning
In this paper, we propose a novel multitask learning method based on the deep convolutional network. The proposed deep network has four convolutional layers, three max-pooling layers, and two parallel fully connected layers. To adjust the deep network to multitask learning problem, we propose to lea...
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| Publié dans: | Comput Intell Neurosci |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Hindawi
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6545796/ https://ncbi.nlm.nih.gov/pubmed/31236107 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/7410701 |
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