Cargando…
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...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545796/ https://www.ncbi.nlm.nih.gov/pubmed/31236107 http://dx.doi.org/10.1155/2019/7410701 |