scalar case DeepML. Neural Network - 1 scores function s = f(x; W) = Wx s=f(x;W)=Wx SVM loss L_i = \sum_{j \ne y_i} \text{max}(0, s_j - s_{y_i} + 1) data loss + regularization L = \begin{matrix} 1 \over N \end{matrix} \sum_{i=1}^N L_i + \sum_k W_k^2 최적의 loss를... scalar caseNeural NetworkNeural Network
DeepML. Neural Network - 1 scores function s = f(x; W) = Wx s=f(x;W)=Wx SVM loss L_i = \sum_{j \ne y_i} \text{max}(0, s_j - s_{y_i} + 1) data loss + regularization L = \begin{matrix} 1 \over N \end{matrix} \sum_{i=1}^N L_i + \sum_k W_k^2 최적의 loss를... scalar caseNeural NetworkNeural Network