Image classification using Azure Sphere
Implement a neural network model for performing real-time image classification on a secured, internet-connected microcontroller-based device (Azure Sphere). Describe the components and steps for implementing a pre-trained image classification model on Azure Sphere.
Learning objectives
In this module, you will:
- Implement image classification on a microcontroller device using a pre-trained neural network model.
- Describe how the components and services of Azure Sphere work to deploy a pre-trained image classification model.
"Produced in partnership with the University of Oxford – Ajit Jaokar, Artificial Intelligence: Cloud and Edge Implementations course."
Prerequisites
- A PC running Windows 10
- Basic knowledge of Azure Sphere
- USB cable to connect Azure Sphere to the computer
- USB-to-serial adapter
- Mini cable to connect the serial adapter to the computer
- Jumper wires to connect the serial adapter to Azure Sphere
- Basic knowledge of using Visual Studio Code
- Visual Studio Code installed on your computer
- Git installed on your computer
- Ability to use Git/GitHub