An analysis of training and generalization errors in shallow and deep networks
This paper is motivated by an open problem around deep networks, namely, the apparent absence of overfitting despite large over-parametrization which allows perfect fitting of the training data. In this paper, we analyze this phenomenon in the case of regression problems when each unit evaluates a p...
| Main Authors: | , |
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| Format: | Technical Report |
| Published: |
Center for Brains, Minds and Machines (CBMM), arXiv.org
2019
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| Online Access: | https://hdl.handle.net/1721.1/121183 |