The Conference for Machine Learning Innovation

Optimize your network inference time as a data scientist, not as a web developer

Session
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:
✓ Save up to €494
✓ 10% Team Discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:
✓ Save up to €494
✓ 10% Team Discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now

You’ve already trained your great neural network. It reaches 99.9% of accuracy and saves the world. You would like to deploy it. However, you don’t have a server with expensive discrete GPUs. Moreover, you don’t want to build an API. After all, you are a Data Scientist, not a Web Developer… So, is it possible to automatically optimize and run the network on both CPU and iGPU you have already? Let’s check! During the talk, I’ll present the OpenVINO™ Toolkit. You’ll learn how to automatically convert the model using Model Optimizer and how to run the inference with OpenVINO Runtime. The magic with only a few lines of code. After all, you’ll get a step-by-step jupyter notebook, so you can try it at home.

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks