Empirical risk landscape analysis for understanding deep neural networks
This work aims to provide comprehensive landscape analysis of empirical risk in deep neural networks (DNNs), including the convergence behavior of its gradient, its stationary points and the empirical risk itself to their corresponding population counterparts, which reveals how various network param...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9023 https://ink.library.smu.edu.sg/context/sis_research/article/10026/viewcontent/2018_ICLR_DNN_Theory.pdf |
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| Institution: | Singapore Management University |
| Language: | English |