Logistic Regression for Classification Task

With pattern recognition approach, there are many methods to implement a handwriting digits recognition task. In my previous stories, I have introduced the Linear Discriminant Analysis base on the Gaussian model maximum likelihood estimation. In this post, I apply the Logistic Regression model on the English numeral handwriting digits recognition task. In the logistic regression model, an occurrence probability of an event is represented by a logistic function. For example, in a two-class problem, the logistic sigmoid function is commonly used.