On August 25, 2022 at 9 am PT (noon ET), Kumar Vishwesh, Technical Product Manager, and Ragesh Hajela, Senior AI Engineer, both of Intel, will present the free hour webinar “Accelerating TensorFlow Models on Intel Compute Devices Using Only 2 Lines of Code,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page:
Are you using Google’s TensorFlow framework to develop your deep learning models? And are you doing inference processing on those models using Intel compute devices: CPUs, GPUs, VPUs and/or HDDL (High Density Deep Learning) processing solutions? If the answer to both questions is “yes”, then this hands-on tutorial on how to integrate TensorFlow with Intel’s Distribution of the OpenVINO toolkit for rapid development while also achieving accurate and high performance inference results is for you!
TensorFlow developers can now take advantage of OpenVINO optimizations with TensorFlow inference applications across a wide range of Intel compute devices by adding just two lines of code. In addition to introducing OpenVINO and its capabilities, the webinar will include demonstrations of the concepts discussed via a code walk-through of a sample application. A question-and-answer session will follow the presentation..