Many machine learning models have been developed, each with strengths and weaknesses. This catalog is not complete without neural network models. In OpenCV, you can use a neural network model developed using another framework. In this post, you will learn about the workflow of applying a neural network in OpenCV. Specifically, you will learn: What OpenCV can use in its neural network model How to prepare a neural network model for OpenCV Kick-start your project with my book Machine Learning […]

Logistic regression is a simple but popular machine learning algorithm for binary classification that uses the logistic, or sigmoid, function at its core. It also comes implemented in the OpenCV library. In this tutorial, you will learn how to apply OpenCV’s logistic regression algorithm, starting with a custom two-class dataset that we will generate ourselves. We will then apply these skills for the specific image classification application in a subsequent tutorial.  After completing this tutorial, you will know: Several of […]

In a previous tutorial, we explored logistic regression as a simple but popular machine learning algorithm for binary classification implemented in the OpenCV library. So far, we have seen how logistic regression may be applied to a custom two-class dataset we have generated ourselves.  In this tutorial, you will learn how the standard logistic regression algorithm, inherently designed for binary classification, can be modified to cater to multi-class classification problems by applying it to an image classification task.  After completing […]