How to Use Hardware Acceleration for Machine Learning Inference on Android
Offered By: Android Makers via YouTube
Course Description
Overview
Explore hardware acceleration techniques for Machine Learning inference on Android devices in this 21-minute conference talk by Adrien Couque at Paris Android Makers by droidcon 2023. Discover how the increasing processing power of Android devices enables on-device machine learning capabilities previously thought impossible. Learn to leverage specialized hardware such as GPUs, DSPs, and NPUs to accelerate ML processes and enable real-time experiences like augmented reality filters and live speech transcription. Gain insights into using Acceleration delegates and new TensorFlow Lite Android APIs to implement ML hardware acceleration effectively. Delve into the world of TensorFlow Lite on Android and unlock the potential for high-performance machine learning applications on mobile devices.
Syllabus
How to use hardware acceleration for Machine Learning inference on Android - Adrien Couque
Taught by
Android Makers
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent