Leveraging the Power of C++ for Efficient Machine Learning on Embedded Devices
Offered By: NDC Conferences via YouTube
Course Description
Overview
Explore how to combine C++ and TensorFlow Lite for efficient machine learning on embedded devices in this 39-minute conference talk from NDC Techtown. Gain practical insights into implementing image classification on a Raspberry Pi using C++ and learn how to create a classic game with hand gesture recognition. Discover the potential of machine learning on embedded systems without requiring prior knowledge in the field. Dive into real-world applications and techniques for optimizing performance in resource-constrained environments.
Syllabus
Leveraging the power of C++ for efficient machine learning on embedded devices - Adrian Stanciu
Taught by
NDC Conferences
Related Courses
Embedded Systems - Shape The World: Microcontroller Input/OutputThe University of Texas at Austin via edX Model Checking
Chennai Mathematical Institute via Swayam Introduction to the Internet of Things and Embedded Systems
University of California, Irvine via Coursera Sistemas embebidos: Aplicaciones con Arduino
Universidad Nacional Autónoma de México via Coursera Quantitative Formal Modeling and Worst-Case Performance Analysis
EIT Digital via Coursera