In this Process This episode, learn how to optimize deep learning models for the deep learning hardware accelerator on TDA4x processors. We will use a Yolov5 example and show you how simple it is to modify the model architecture so that it runs efficiently and performs best on TDA4x processor without compromising accuracy.

Webinar topics:

• TI Model Zoo introduction
• Yolov5 model overview
• Optimizations for the deep learning hardware accelerator on TDA4x processors
• Model compilation using open-source run-time software
• TI Edge AI Cloud tool for free model bench-marking and evaluation