Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications [electronic resource]
Deep neural networks have been successfully employed in an extensive variety of research areas, including solving partial differential equations. Despite its significant success, there are some challenges in effectively training DNN, such as avoiding overfitting in over-parameterized DNNs and accele...
Saved in:
| Online Access: |
Full Text (via OSTI) |
|---|---|
| Corporate Author: | |
| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Washington, D.C. : Oak Ridge, Tenn. :
United States. Department of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
2021.
|
| Subjects: |
Internet
Full Text (via OSTI)Online
| Call Number: |
E 1.99:1853726
|
|---|---|
| E 1.99:1853726 | Available |