Deep Learning with Raspberry Pi and MATLAB

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.

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© 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.

[lootingpig]

Great seminar, learned a lot! Many thanks

[ahsueh]

Is there a seminar for how to do this code generation and deployment through simulink? I have a large system I need to deploy to a pi and it's already built in simulink. thanks!

[navpreetshukla]

Great lecture, a lots of things to understand and learn 👍

[khawlaalhanaei]

If I want to deploy another CNN to the raspberry pi like to detect faces, what should I change in the code to follow my trained network?

[shalakajagtap]

Can I use raspberry pi model 3 B for deployment