cs231Linear classification: Support Vector Machine, Softmax笔记
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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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