Overview
Do you want to take your deep learning algorithms beyond desktop and apply them in real-world systems?
In this webinar, we will show how MATLAB can be used to deploy your deep learning algorithms onto a Raspberry Pi. We will also talk about the new C++ code generation capability for Raspberry Pi functions that allows you to easily interface with the trained Deep Neural Networks on the Pi while performing prediction tasks.
We will use a real-world computer vision example to demonstrate how to deploy deep learning networks and perform inference tasks on your embedded hardware.
Highlights
- Generate C/C++ code from deep learning networks as inference engines for Raspberry Pi.
- Access peripherals from the Raspberry Pi for use in MATLAB with the generated code.
About the Presenter
Meeshawn works as a Technical Marketing Engineer at The MathWorks and focuses on MATLAB & Simulink Support Packages for Arduino and Raspberry Pi hardware. Before joining MathWorks, Meeshawn completed his Master’s degree with a specialization in Control Systems and Smart Materials from the Indian Institute of Technology, Madras.
