loss functions

A loss function is a measure of how good your prediction model does in terms of being able to predict the expected outcome(or value).

The various types of loss functions are mean_squared_error, mean_absolute_error, mean_absolute_percentage_error, mean_squared_logarithmic_error, squared_hinge, hinge, categorical_hinge, logcosh, categorical_crossentropy, sparse categorical / binary crossentropy, kullback_leibler_divergence and other