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Analyze Your Python Applications with Intel Advisor

In this video, Jeff shows you a quick example using the TensorFlow quickstart and how the Intel Advisor can recommend some improvements to it.
This video illustrates how Intel Advisor can take python applications, run them through a high grade performance profiler, and get roofline reports, hotpsot analysis, and get recommendations on how to improve your application. The video has a sample using the TensorFlow tutorial, on how to train a model, execute that model, and then analyze its performance.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

Jeffrey T. Fritz
Program Manager
United States United States
Jeff Fritz is a senior program manager in Microsoft’s Developer Division working on the .NET Community Team. As a long time web developer and application architect with experience in large and small applications across a variety of verticals, he knows how to build for performance and practicality. Four days a week, you can catch Jeff hosting a live video stream called 'Fritz and Friends' at twitch.tv/csharpfritz. You can also learn from Jeff on WintellectNow and Pluralsight, follow him on twitter @csharpfritz, and read his blog at jeffreyfritz.com

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Posted 5 Mar 2020

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