YoVDO

Object Detection with Faster R-CNN in C# Using ONNX on CPU

Offered By: The Machine Learning Engineer via YouTube

Tags

Object Detection Courses Machine Learning Courses C# Courses Computer Vision Courses MLOps Courses Quantization Courses ONNX Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Machine Learning Operations (MLOps): Getting Started
Google Cloud via Coursera
Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera
Demystifying Machine Learning Operations (MLOps)
Pluralsight
Machine Learning Engineer with Microsoft Azure
Microsoft via Udacity
Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera