Training neural networks for and by interpolation
In modern supervised learning, many deep neural networks are able to interpolate the data: the empirical loss can be driven to near zero on all samples simultaneously. In this work, we explicitly exploit this interpolation property for the design of a new optimization algorithm for deep learning, wh...
| Κύριοι συγγραφείς: | , , |
|---|---|
| Μορφή: | Conference item |
| Γλώσσα: | English |
| Έκδοση: |
Journal of Machine Learning Research
2020
|