Name
Abstract | ||
|---|---|---|
•We review the most typical four deep learning models and their variants.•We provide a survey on deep learning models for big data feature learning.•We discuss the remaining challenges and future trends of big data deep learning. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.inffus.2017.10.006 | Information Fusion |
Keywords | Field | DocType |
Deep learning,Big data,Stacked auto-encoders,Deep belief networks,Convolutional neural networks,Recurrent neural networks | Information processing,Artificial intelligence,Deep learning,Big data,Wireless sensor network,Machine learning,Mathematics,Feature learning | Journal |
Volume | ISSN | Citations |
42 | 1566-2535 | 72 |
PageRank | References | Authors |
2.01 | 68 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingchen Zhang | 1 | 372 | 19.17 |
| Laurence T. Yang | 2 | 6870 | 682.61 |
| Zhikui Chen | 3 | 692 | 66.76 |
| Peng Li | 4 | 100 | 3.33 |