Tensorflow代码当中的logits的理解
深度学习源码中经常出现的logits其实和统计中定义的$logit=log(\frac{p}{1-p})$没什么太大关系,就是定义的神经网络的一层输出结果。该输出一般会再接一个softmax layer输出normalize 后的概率,用于多分类。见下图:

深度学习源码中经常出现的logits其实和统计中定义的$logit=log(\frac{p}{1-p})$没什么太大关系,就是定义的神经网络的一层输出结果。该输出一般会再接一个softmax layer输出normalize 后的概率,用于多分类。见下图:

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