Getting Digital

Android 15 & ML - Train Tensorflow Lite Models for Android

Develop essential data science & ai skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of data science & ai
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of data science & ai
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in data science & ai
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

Do you want to train different Machine Learning models and build smart Android applications 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. We can use image classification to build countless recognition applications for performing number of tasks, like we can train a model and build applications to recognizeDifferent Breeds of dogsDifferent Types of plantsDifferent Species of AnimalsDifferent kind of precious stonesImage Classification & ApplicationsObject detection is a powerful computer vision technique that can accurately identify and pinpoint the location of various objects within images or videos. By recognizing objects like cars, people, and animals, this technology empowers applications such as security surveillance, autonomous vehicles, and smartphone apps that can identify objects through the camera lens.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Data Science & AI

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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