Applies dropout to the input.
Dropout consists in randomly setting a fraction rate of input units to 0 at each update during training time, which helps prevent overfitting.
rate
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Applies dropout to the input.
Dropout consists in randomly setting a fraction
rate
of input units to 0 at each update during training time, which helps prevent overfitting.