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Found 3 translations.

Name	Current message text
^h English (en)	'''Dropout''' is a {{Term\|regularization}} technique for neural networks that randomly sets a fraction of neuron {{Term\|activation function\|activations}} to zero during each {{Term\|training step}}. Introduced by Srivastava et al. (2014), dropout is one of the most widely used methods for preventing {{Term\|overfitting}} in {{Term\|deep learning}}.
^h Spanish (es)	'''Dropout''' es una técnica de {{Term\|regularization\|regularización}} para redes neuronales que pone aleatoriamente a cero una fracción de las {{Term\|activation function\|activaciones}} de las neuronas durante cada {{Term\|training step\|paso de entrenamiento}}. Introducido por Srivastava et al. (2014), el dropout es uno de los métodos más utilizados para prevenir el {{Term\|overfitting\|sobreajuste}} en {{Term\|deep learning\|aprendizaje profundo}}.
^h Chinese (zh)	'''Dropout'''(随机失活)是一种用于神经网络的{{Term\|regularization\|正则化}}技术,在每个{{Term\|training step\|训练步}}中将一部分神经元的{{Term\|activation function\|激活值}}随机置零。由 Srivastava 等人(2014)提出,dropout 是{{Term\|deep learning\|深度学习}}中预防{{Term\|overfitting\|过拟合}}最广泛使用的方法之一。