Device-based Models with TensorFlow Lite
Learn to deploy and optimize machine learning models for mobile and embedded devices using TensorFlow Lite.
Learn to deploy and optimize machine learning models for mobile and embedded devices using TensorFlow Lite.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full TensorFlow: Data and Deployment Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(636 ratings)
29,785 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Optimize models for battery-operated devices
Deploy ML models on Android and iOS platforms
Implement TensorFlow Lite on embedded systems
Optimize model performance for mobile devices
Create efficient ML applications for edge devices
Skills you'll gain
This course includes:
2.47 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches developers how to deploy machine learning models on mobile and embedded devices using TensorFlow Lite. Students learn model optimization techniques for battery-operated devices, implementation on Android and iOS platforms, and deployment on embedded systems like Raspberry Pi and microcontrollers. The curriculum covers practical aspects of mobile AI development including performance optimization, model conversion, and real-world application development.
Device-based models with TensorFlow Lite
Module 1 · 5 Hours to complete
Running a TF model in an Android App
Module 2 · 1 Hours to complete
Building the TensorFLow model on IOS
Module 3 · 2 Hours to complete
TensorFlow Lite on devices
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Pioneering AI Educator and Best-Selling Author
Laurence Moroney is an award-winning artificial intelligence researcher and best-selling author dedicated to making AI and machine learning accessible to everyone. As an instructor at DeepLearning.AI, he has taught millions through MOOCs and YouTube, while also serving as a keynote speaker at various events. Moroney is a fellow of the AI Fund and advises several AI startups, leveraging his expertise to foster innovation in the field. Based in Seattle, Washington, he is also an active member of the Science Fiction Writers of America, having authored multiple sci-fi novels and comic books. When not immersed in technology, he enjoys indulging in coffee and exploring creative writing.
Testimonials
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4.7 course rating
636 ratings
Frequently asked questions
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