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The 7 Lines of Code You Need to Run Faster Real-time Inference
# Real-time Inference
# OpenVINO Toolkit
# Model Optimizer

You've already trained your great neural network. It reaches 99.9% of accuracy and saves the world, so you would like to deploy it. However, it must run in real time and process data locally, and you don't want to build a web API. After all, you are a Data Scientist, not a Web Developer… So, is it possible to automatically optimize and run the network fast on the local hardware you have, not the hardware you wish you had? Absolutely!

During the talk, Adrian will present the OpenVINO Toolkit. You'll learn how to automatically convert the model using Model Optimizer and run the inference with the Runtime. The magic with only seven lines of code. After all, you'll get a step-by-step jupyter notebook to try at home.

Speakers
Adrian Boguszewski
Adrian Boguszewski
AI Software Evangelist @ Intel
Agenda
Track View
5:00 PM
5:15 PM
Stage 1
Opening / Closing
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Musical Intro
5:15 PM
5:55 PM
Stage 1
Presentation
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The 7 Lines of Code You Need to Run Faster Real-time Inference

You've already trained your great neural network. It reaches 99.9% of accuracy and saves the world, so you would like to deploy it. However, it must run in real time and process data locally, and you don't want to build a web API. After all, you are a Data Scientist, not a Web Developer… So, is it possible to automatically optimize and run the network fast on the local hardware you have, not the hardware you wish you had? Absolutely!

During the talk, Adrian will present the OpenVINO Toolkit. You'll learn how to automatically convert the model using Model Optimizer and run the inference with the Runtime. The magic with only seven lines of code. After all, you'll get a step-by-step jupyter notebook to try at home.

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Adrian Boguszewski
5:55 PM
6:00 PM
Stage 1
Opening / Closing
calendar
Q&A
6:00 PM
6:15 PM
Stage 1
1:1 networking
calendar
Networking
Event has finished
January 25, 5:00 PM, GMT
Online
Event has finished
January 25, 5:00 PM, GMT
Online