Cross-validation Stability of Deep Networks
Recent theoretical results show that gradient descent on deep neural networks under exponential loss functions locally maximizes classification margin, which is equivalent to minimizing the norm of the weight matrices under margin constraints. This property of the solution however does not fully ch...
| Main Authors: | , , , , |
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| Format: | Technical Report |
| Published: |
Center for Brains, Minds and Machines (CBMM)
2021
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| Online Access: | https://hdl.handle.net/1721.1/129744 |