목차 1. Loss Function 1.1 Multiclass SVM loss 1.2 Hinge loss 2. Regularization 2.1 L2 Regularization 2.2 L1 Regularization 3. Softmax Classifier (Multinomial Logistic Regression) 4. Softmax VS. SVM 5. Optimization 6. Gradient Descent 6.1 Stochastic Gradient Descent 7. Image Feature 7.1 Color Histogram 7.2 Histogram of Oriented Gradients 7.3 Bag of Words 1. Loss Function Linear Classifier에서 이미지를 입력..
