What is it? In deep learning, “cross-entropy” is a function used to measure the difference between two probability distributions, typically used in classification tasks. Analogy: Guessing the Color of Candies Imagine you have a bag of candies containing red, green, and blue colors. You guess the color distribution of the candies is 50% red, 30% green, and 20% blue. However, the actual distribution is 60% red, 20% green, and 20% blue....