卷积神经网络随机丢弃
时间: 2023-08-11 14:03:27 浏览: 51
卷积神经网络中的随机丢弃是指在网络的训练过程中,随机删除一部分神经元的输出,以减少过拟合的风险。这种方法被称为丢弃法(Dropout)\[3\]。在训练时,随机选择一部分神经元,并将它们的输出设置为0,这些神经元将不会传递信号。通过随机丢弃神经元,可以强制网络学习到更加鲁棒的特征,提高网络的泛化能力。这种方法可以有效地减少过拟合现象,提高卷积神经网络的性能\[3\]。
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