l2_regularization¶
- mlpractice.linear_classifier.l2_regularization(W, reg_strength)¶
Computes L2 regularization loss on weights and its gradient.
- Parameters
- Wnp.ndarray, shape(n_features, n_classes)
Weights.
- reg_strengthfloat
Strength of regularization.
- Returns
- lossfloat
L2 regularization loss.
- gradientnp.ndarray, shape(n_features, n_classes)
Gradient of L2 loss value with respect to weights.