Download 1611 03530 PDF PDF Free - Full Version
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About 1611 03530 PDF
1) Deep learning models are able to fit random labels on training data, achieving 0% training error even when the labels are random. This shows their effective capacity is sufficient for memorizing the entire dataset. 2) Convolutional neural networks can fit random noise instead of true images, showing they can fit random patterns in the data. 3) Explicit regularization like weight decay is not necessary for deep learning models to generalize well, and does not adequately explain their generalization performance. The role of regularization seems to be more as a tuning parameter.
Detailed Information
| Author: | ['ingaleharshal'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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