the linear classifier:
$$ f(x_i, W, b) = W x_i + b $$ ---- commer in the middle of x_i and W
the Multiclass SVM loss:
$$ L = \frac{1}{N} \sumi \sum{j\neq y_i} \left[ \max(0, f(x_i; W)j - f(x_i; W){y_i} + \Delta) \right] + \lambda \sum_k\suml W{k,l}^2 $$ ----- semicolon in the middle of x_i and W
Is there any difference introduced by the two punctruations?
the linear classifier: $$ f(x_i, W, b) = W x_i + b $$ ---- commer in the middle of x_i and W
the Multiclass SVM loss: $$ L = \frac{1}{N} \sumi \sum{j\neq y_i} \left[ \max(0, f(x_i; W)j - f(x_i; W){y_i} + \Delta) \right] + \lambda \sum_k\suml W{k,l}^2 $$ ----- semicolon in the middle of x_i and W
Is there any difference introduced by the two punctruations?