Object Detection with Faster R-CNN in C# Using ONNX on CPU
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Explore object detection using the Fast R-CNN architecture in this 27-minute tutorial. Learn how to implement a small object detection application using C# and a quantized ONNX model running on CPU. Gain practical insights into machine learning and data science techniques as you follow along with the step-by-step demonstration. Access the accompanying code on GitHub to further enhance your understanding and apply the concepts to your own projects.
Syllabus
MLOPS: Object detection with Faster R-CNN in C# format ONNX in CPU #machinelearning #datascience
Taught by
The Machine Learning Engineer
Related Courses
Beginning Game Programming with C#University of Colorado System via Coursera Programming with C#
Microsoft via edX DEV206.1x: Introduction to XAML and Application Development
Microsoft via edX Introduction to Game Development
Michigan State University via Coursera Designing Advanced Applications using XAML
Microsoft via edX