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Results tagged with dropout
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user 324661
Dropout is a technique to reduce overfitting during the training phase of a neural network. DO NOT use this tag for dropout as in censoring or missing data in survival analysis or longitudinal data analysis.
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Dropout value - increase, decrease, keep the same across layers
I'm confused about dropout values that people set.
Sometimes it's the same value, say 0.4.
Sometimes they increase them gradually from 0.2 to 0.5. For example after maxpooling in CNNs. …
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