Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
loss is the average of the absolute differences between the predicted and true values. It is less sensitive to outliers than the mean squared error (MSE) loss, making it a good choice for models that can be affected by outliers. Implementation in Numpy import numpy as np def l1_loss(y_pred,