Deep Learning with MATLAB, NVIDIA Jetson, and ROS

Download the files used in this video: http://bit.ly/2QAL9OL Jon Zeosky and Sebastian Castro discuss how algorithms designed in MATLAB® can be deployed as standalone CUDA® code to target NVIDIA® GPUs, and how this standalone code can be used in a development process involving Robot Operating System (ROS). In the software demonstration, Jon and Sebastian first use a pretrained neural network in MATLAB to create a deep learning classification algorithm. Then, they use GPU Coder™ to generate a standalone library from this algorithm and deploy it to an NVIDIA Jetson™ platform. Finally, they integrate the generated library into a ROS node developed in C++ to connect with other software nodes running on the network. 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.