Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
(abs_error - quadratic) return np.mean(0.5 * quadratic ** 2 + delta * linear) This function takes the predicted values y_pred, true values y_true, and the delta hyperparameter as inputs, and returns the Huber loss. The function first calculates the absolute error between the predicted and true