Deep Learning through Sparse and Low-Rank Modeling /
Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models-those that emphasize problem-specific Interpretability-with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the tool...
| Main Authors: | Wang, Zhangyang (Author), Fu, Yun (Author), Huang, Thomas (Author) |
|---|---|
| Corporate Author: | Safari, an O'Reilly Media Company |
| Format: | eBook |
| Language: | English |
| Published: |
Academic Press,
2019.
|
| Edition: | 1st edition. |
| Subjects: | |
| Online Access: | Connect to this electronic resource |
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