chainer.functions.dropout¶
-
chainer.functions.
dropout
(x, ratio=.5)[source]¶ Drops elements of input variable randomly.
This function drops input elements randomly with probability
ratio
and scales the remaining elements by factor1 / (1 - ratio)
. In testing mode, it does nothing and just returnsx
.Warning
train
argument is not supported anymore since v2. Instead, usechainer.using_config('train', boolean)
. Seechainer.using_config()
.Parameters: Returns: Output variable.
Return type: See the paper by G. Hinton: Improving neural networks by preventing co-adaptation of feature detectors.