YoVDO

Leveraging the Power of C++ for Efficient Machine Learning on Embedded Devices

Offered By: CppCon via YouTube

Tags

C++ Courses Machine Learning Courses Computer Vision Courses Raspberry Pi Courses Embedded Systems Courses Image Classification Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the practical application of C++ and TensorFlow Lite for efficient machine learning on embedded devices in this 48-minute conference talk from CppCon 2023. Discover how to implement image classification on a Raspberry Pi using C++ and learn to create a classic game with hand gesture recognition. Gain insights into combining powerful programming tools for embedded systems without requiring prior knowledge of machine learning or embedded devices. Presented by Adrian Stanciu, an experienced software engineer specializing in Linux system programming, this talk offers valuable insights for developers interested in leveraging C++ for machine learning applications on resource-constrained hardware.

Syllabus

Leveraging the Power of C++ for Efficient Machine Learning on Embedded Devices - Adrian Stanciu


Taught by

CppCon

Related Courses

Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?
Universitat Autònoma de Barcelona (Autonomous University of Barcelona) via Coursera
Core ML: Machine Learning for iOS
Udacity
Fundamentals of Deep Learning for Computer Vision
Nvidia via Independent
Computer Vision and Image Analysis
Microsoft via edX
Using GPUs to Scale and Speed-up Deep Learning
IBM via edX