Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning
- Offered byMicrosoft
Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning at Microsoft Overview
Duration | 2 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning at Microsoft Course details
- Create workspace resources for getting started with Azure Machine Learning
- Create a labeled dataset using Azure Machine Learning data labeling tools
- Use AutoML to train a labeled dataset and develop a production model
- Deploy model to NVIDIA Triton Inference Server
- Azure Machine Learning studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure
- Learn how to develop custom object detection models using this service with NVIDIA GPU accelerated virtual machines
- In this course, you'll learn how to create resources for getting started with Azure Machine Learning
- Learn how to use Azure Machine Learning data labeling to create, manage, and monitor data labeling projects
- Learn how to use AutoML to train a labeled dataset and develop a production object detection model
Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning at Microsoft Curriculum
Create workspace resources for getting started with Azure Machine Learning
Introduction
Introduction to Azure Machine Learning
Create an Azure Storage Account
Create an Azure Storage Container
Create an Azure Machine Learning Workspace
Create an Azure Machine Learning Compute Instance
Create an Azure Machine Learning Datastore
Knowledge check
Summary
Create a labeled dataset using Azure Machine Learning data labeling tools
Introduction
Create an Azure Machine Learning data labeling project
Label images with Azure Machine Learning data labeling tools
Export a labeled Azure Machine Learning dataset
Knowledge check
Summary
Use AutoML to train a labeled dataset and develop a production model
Introduction
Prepare the Jupyter notebook workspace
Configure the Jupyter notebook execution environment
Execute the Jupyter Notebook to produce an object detection model using AutoML
Knowledge check
Summary
Deploy model to NVIDIA Triton Inference Server
Introduction
Create a GPU Accelerated Virtual Machine
Install prerequisites and NVIDIA Triton Inference Server
Execute inference workload on NVIDIA Triton Inference Server
Knowledge check
Summary