Free Course
Introduction to TensorFlow Lite
by
Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.
About this Course
Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite. This course was developed by the TensorFlow team and Udacity as a practical approach to model deployment for software developers. You'll get hands-on experience with the TensorFlow Lite framework as you deploy deep learning models on Android, iOS, and even an embedded Linux platform. By the end of this course, you'll have all the skills necessary to start deploying your own deep learning models into your apps.
Course Cost
Free
Timeline
Approx. 2 months
Skill Level
intermediate
Included in Product
Rich Learning Content
Interactive Quizzes
Taught by Industry Pros
Self-Paced Learning
Join the Path to Greatness
Free Course
Introduction to TensorFlow Lite
Enhance your skill set and boost your hirability through innovative, independent learning.
Course Leads
Daniel Situnayake
Developer Advocate, Google
Paige Bailey
Developer Advocate, Google
Juan Delgado
Content Developer, Udacity
What You Will Learn
Prerequisites and Requirements
General Experience: Some familiarity with the TensorFlow Lite framework, and comfortability with Object Oriented Programming, Python, Swift, Android, and Machine Learning.
See the Technology Requirements for using Udacity.
Why Take This Course
With TensorFlow Lite, the Google TensorFlow team has introduced the next evolution of the TensorFlow Framework, specifically designed to enable machine learning at low latency on mobile and embedded devices. This course was created as a practical approach to model deployment for software developers, providing hands-on experience deploying deep learning models on Android, iOS, and even an embedded Linux platform. Get started today to stay on the cutting-edge of machine learning practices.
What do I get?
- Instructor videos
- Learn by doing exercises
- Taught by industry professionals