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Sure, but dropout actually increases training error (makes you less likely to find the globally optimal training error), with (sometimes) a decrease in generali
by brianchu 10y ago
Sure, but dropout actually increases training error (makes you less likely to find the globally optimal training error), with (sometimes) a decrease in generalization error (test error). So any connection is very thin.
- zardeh 10y agoOh actually that's a really good point and I think makes the difference clear (there isn't such a train/test divide in the driving example). Thank you :)