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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. MATLAB Coder: https://bit.ly/3zY0Gxv Deep Learning Toolbox: https://bit.ly/3yEX9TL -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.