Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
samples. Huber Loss Huber loss is a loss function used in regression tasks that is less sensitive to outliers than Mean Squared Error (MSE) loss. It is defined as a combination of the MSE loss and Mean Absolute Error (MAE) loss, where the loss function is MSE for small errors and MAE for larger