Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Technology.
logarithm of the hyperbolic cosine of the error. This loss is very close to the Huber loss in behaviour as it has linear behaviour for very large values of error and quadratic for small loss values. The benefit here is you dont have to decide the value of the threshold as in the case of the Huber