Implementing machine learning models can be daunting, particularly if you’re starting from scratch. But there’s good news: software innovations that work hand-in-glove can make the entire process faster and easier.
This video walks you through a prime example.
Follow Monique as she demonstrates, screen-by-screen, the process of using Model Optimizer (part of Intel® Distribution of OpenVINO™ toolkit) to prepare a TensorFlow* model for conversion, including using the toolkit’s samples to run inference and get accurate results. You’ll learn how to:
- Create checkpoints, graph definitions, and event files
- Launch TensorBoard* to visualize your graph
- Use OpenVINO with TensorFlow Object Detection API
- Convert a TensorFlow object with Model Optimizer and deploy it with an OpenVINO sample
- And more
All in under 15 minutes.
Be sure to download OpenVINO toolkit before watching so you can follow along on your own machine.
OpenVINO is a trademark of Intel Corporation or its subsidiaries in the U.S. and/or other countries.