dropout

• 0 (default) / 0 ~ 1

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The main idea of dropout is to randomly drop units from the neural network during training, resulting in a significant reduction of overfitting. Users must type a value between 0 and 1 to enable dropout. For example, if users type 0.25, 25 % of nodes in neural network hidden layers are dropped.