机器学习损失函数详解
本文深入探讨了机器学习中各种损失函数的概念与应用，包括hinge loss、平方hinge loss SVM及多分类支持向量机损失等，并介绍了softmax分类器与交叉熵损失。此外，还讨论了正则化技术及其在防止过拟合中的作用。
score function
loss function
bias vector
gradient descent
how to define the details of the loss function
Multiclass Support Vector Machine loss
hinge loss
squared hinge loss SVM
regularization
regularization penalty L2范式
cs229 max margin
Practical Considerations
1.setting delta
2.aside:optimazation in primal
Sotmax classifier
cross-entropy loss
information theory view:cross-entroy
loss function
bias vector
gradient descent
how to define the details of the loss function
Multiclass Support Vector Machine loss
hinge loss
squared hinge loss SVM
regularization
regularization penalty L2范式
cs229 max margin
Practical Considerations
1.setting delta
2.aside:optimazation in primal
Sotmax classifier
cross-entropy loss
information theory view:cross-entroy
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