Android & ML 2025 - Train Tensorflow Lite Models for Android

About this course

Do you want to train different Machine Learning models and build smart Android applications in 2025 then Welcome to this course.In this course, you will learn to train powerfulImage ClassificationObject DetectionLinear Regressionmodel in python from scratch. After that you will learn toUse your custom trained Machine Learning Models in AndroidUse existing tensorflow lite models in Android AppsRegressionRegression is one of the fundamental techniques in Machine Learning which can be used for countless applications. Like you can train Machine Learning models using regression to predict the price of the houseto predict the Fuel Efficiency of vehiclesto recommend drug doses for medical conditionsto recommend fertilizer in agriculture to suggest exercises for improvement in player performanceand so on. So Inside this course, you will learn to train your custom linear regression models in Tensorflow Lite format and build smart Android Applications.Image Classification & ApplicationsImage classification is the process of recognizing different entities or things in an image or video. You can recognize animals, plants, diseases, food, activities, colors, things, fictional characters, drinks, etc with image recognition.In e-commerce applications image classification can be used to categorize products based on their visual features, So it is used to organize products into categories for easy browsing.Image classification can be used to power visual search in mobile apps, so users can take a picture of an object and then find similar items for sale.Image classification can be used in medical apps to diagnose disease based on medical images, such as X-rays or CT scans.<

Course objectives

• teach students to build machine learning models for mobile platforms
• equip students with skills to integrate ML models into Android apps
• help students understand the practical applications of regression and image classification