Deep Learning with MATLAB, NVIDIA Jetson, and ROS - MATLAB
Video Player is loading.
Current Time 0:00
Duration 15:01
Loaded: 0.00%
Stream Type LIVE
Remaining Time 15:01
 
1x
  • descriptions off, selected
  • captions off, selected
  • en (Main), selected
    Video length is 15:01

    Deep Learning with MATLAB, NVIDIA Jetson, and ROS

    From the series: Implementation

    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.

    Download the example files used in this video from MATLAB Central File Exchange.

    Learn more with the following resources:

    Published: 12 Nov 2018

    Up Next:

    View full series (9 Videos)

    View more related videos