Loss function based on the absolute value of the difference between the values that a model is predicting and the actual values of the labels. L1 loss is less sensitive to outliers than L2 loss.
Loading pushes...
Rendering context...
π Node[[l2_loss]] perhaps relatedπ Node[[log_loss]] perhaps related