Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
PyTorch import torch.nn.functional as F def huber_loss(y_pred, y_true, delta=1.0): error = y_pred - y_true abs_error = torch.abs(error) quadratic = torch.min(abs_error, delta) linear = (abs_error - quadratic) return 0.5 * quadratic ** 2 + delta * linear This function takes the predicted values