TensorFlow2.1入门学习笔记(7)——损失函数
个人博客：wyxogo.top预测值（y）与已知答案（y_）的差距神经网络的优化目标：loss最小 ⇒{mse(MeanAquaredError)自定义ce(CrossEntropy)\Rightarrow \left\{\begin{array}{lr}mse(Mean Aquared Error) \\自定义 \\ce(Cross Entropy)\end{array}\right.⇒⎩⎨⎧mse(MeanAquaredError)自定义ce(CrossEntropy)MSE(y_,
