Cross-Entropy: A Deep Dive into the Loss Function for Classification

This post provides a clear explanation of cross-entropy's role as a loss function in machine learning classification tasks. Starting with information theory concepts like information content and entropy, it builds up to cross-entropy, comparing it to KL divergence. The article concludes by demonstrating the relationship between cross-entropy and maximum likelihood estimation with numerical examples, clarifying its application in machine learning.