Softmax Activation Function: From Logits to Probabilities
中文摘要
Softmax 是神经网络中至关重要的激活函数，主要用于将 Logits 转换为概率。
English Summary
Softmax is a crucial activation function in neural networks that converts logits into probabilities.
原文节选
When learning neural networks, you eventually encounter a simple looking function with a very important job which is Softmax. Continue reading on Medium »