Browser-based Models with TensorFlow.js
This course is part of TensorFlow: Data and Deployment Specialization.
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.
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What you'll learn
Train and deploy ML models in web browsers
Handle data efficiently in browser environments
Build computer vision applications with webcam integration
Implement transfer learning with pre-trained models
Create interactive ML-powered web applications
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches how to deploy machine learning models in web browsers using TensorFlow.js. Through four modules, students learn to train and run models in browsers, handle browser-based data, and build computer vision applications. The curriculum covers model conversion from Python to JavaScript, transfer learning with pre-trained models, and practical projects including a webcam-based object classifier.
Introduction to TensorFlow.js
Module 1 · 4 Hours to complete
Image Classification In the Browser
Module 2 · 4 Hours to complete
Converting Models to JSON Format
Module 3 · 5 Hours to complete
Transfer Learning with Pre-Trained Models
Module 4 · 4 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: TensorFlow: Data and Deployment Specialization
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.
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