pytorch中的损失函数

Handsome_zhou

损失函数可以分为三类: 回归损失函数、二分类损失函数和三分类损失函数。在机器学习中，损失函数通常作为学习准则与优化问题相联系，不同的场景运用的损失函数也不同。



下图为pytorch中常用的损失函数:







交叉熵和负对数似然损失函数介绍比较好的: https://blog.csdn.net/tcn760/art ... tm_relevant_index=1

各种损失函数清楚的可视化表示的博客: https://builtin.com/machine-learning/common-loss-functions

对pytorch用法与实例讲解比较详细： https://www.v7labs.com/blog/pytorch-loss-functions

损失函数和评价指标的区别:
Key Difference:
1. A loss function is implemented during training to optimize a learning function. It is not a judge of overall performance.
2. A Criterion/Evaluation Metric is used after training to measure overall performance