How to create Logistic Regression Classifier in PyTorch

In this PyTorch tutorial we will learn how to create Logistic Regression Classifier in PyTorch. Logistic regression is a type of regression that predicts the probability of an event. It is used for classification problems and has many applications in the fields of machine learning, artificial intelligence, and data mining. The formula of logistic regression is to apply a sigmoid function to the output of a linear function. This article discusses how you can build a logistic regression classifier.