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二、Maxout算法流程 1、算法概述 开始前我们先讲解什么叫maxout networks，等我们明白了什么叫maxout 网络后，再对maxout的相理论意义做出解释。 Maxout 是 深度 学习 网络 中的一层 网络 ，就像池化层、卷积层一样等，我们可以把 maxout 看成是 网络 的激活函数层，这个后面再讲解，本部分我们要 … 

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Maxout. 论文Maxout Networks(Goodfellow,ICML2013) Maxout可以看做是在深度学习网络中加入一层激活函数层,包含一个参数k.这一层相比ReLU,sigmoid等,其特殊之处在于增加了k个神经元,然后输出激活值最大的值. 我们常见的隐含层节点输出： 

Maxout. paper：Maxout Networks 与常规的激活函数不同，Maxout是一个可以学习的分段线性函数。 其可以看做是在深度学习网络中加入了一层激活函数层，包含一个参数k，这一层相比ReLU，Sigmoid等，其在于增加了k个神经元，然后输出激活值最大的值。 

The Ed Mylett Show showcases the greatest peak-performers across all industries in one place, sharing their journey, knowledge and thought leadership. With Ed Mylett and featured guests in almost ...