A Beginners’ Guide to Cross-Entropy in Machine Learning

Today we have many real-world applications which are based on machine learning such as churn modeling, image classification, customer segmentation, etc. For all of these kinds of applications, businesses need to optimize their models, obtain the model’s optimum accuracy and efficiency model. Therefore it is a bit critical to obtain a higher-performing model by tuning a certain number of parameters. One such parameter is a loss function and among which mostly used one is cross-entropy. In this article, we will be discussing cross-entropy functions and their importance in machine learning, especially in classification problems. The important concepts that we will discuss here in this article are listed below. Table of Contents Need of Cross-EntropyWhat is Entropy?What is cross-entropyCross entropy as loss function Code Glimpses Let’s begin our discussion one by one. Need of Cross-Entropy Machine learning and deep learning models are normally used to solve regressi