神经⽹络中的logits是什么意思
logit 在统计学上是⼀个数学函数，但是在神经⽹络中却有着不同的含义。
说⽩了，logits 就是⼀个向量，下⼀步通常被投给 softmax 的向量。
就是下图这个箭头所指的位置：
logits 参考
The vector of raw (non-normalized) predictions that a classification model generates, which is ordinarily then passed to a normalization function. If the model is solving a multi-class classification problem, logits typically become an input to the softmax function. The softmax function then generates a vector of (normalized) probabilities with one value for each possible class.
value函数什么意思In addition, logits sometimes refer to the element-wise inverse of the sigmoid function. For more information, see

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