Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance

Jae Wan Shim

We propose the Linearly Adaptive Cross Entropy Loss function. This is a novel measure derived from the information theory. In comparison to the standard cross entropy loss function…