Deep Learning, Machine Learning, Python, TensorFlow, Artificial Intelligence.
sensitivity to smaller errors. LogCosh The logcosh loss function is used in regression problems. It is less sensitive to outliers than the mean squared error (MSE). loss = log(cosh(error)) It first calculates the hyperbolic cosine of the error. The hyperbolic cosine is a function that is similar to