Data Science, Deep Learning, Neural Networks, Machine Learning, Optimizer.
functions, too. Mean squared error (MSE) works for most regression problems, but it may punish mistakes too heavily if your target outputs have a large value spread. Mean squared logarithmic error (MSLE) may be more appropriate if you’re dealing with large, unscaled quantities. Match Loss Functions