BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Pacific Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20191016T235630Z DESCRIPTION:TensorFlow 2.0 is tightly integrated with TensorFlow and offers high performance for deep learning inference through a simple API. Siddha rth Sharma and Joohoon Lee use examples to show how to optimize an app usi ng TensorRT with the new Keras APIs in TensorFlow 2.0. They show you tips and tricks to get the highest performance possible on GPUs and detail exam ples of how to debug and profile apps using tools by NVIDIA and TensorFlow . You’ll walk away with an overview and resources to get started\, and i f you’re already familiar with TensorFlow\, you’ll also get tips on ho w to get the most out of your application.\n \nWhat you'll learn\n* Discov er the latest and greatest in the integrated solution\, workflows and tool s for profiling\, and tips and tricks to squeeze the most out of your infe rence solution\n DTEND;TZID="Pacific Standard Time":20191030T123000 DTSTAMP:20191016T235630Z DTSTART;TZID="Pacific Standard Time":20191030T115000 LAST-MODIFIED:20191016T235630Z LOCATION:TensorFlow World 2019 - Grand Ballroom H PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:NVIDIA Session: Faster Inference in TensorFlow 2.0 w ith TensorRT TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000B0951A6B4284D501000000000000000 010000000A542756FAFE7904B87F060F2548F8CA3 X-ALT-DESC;FMTTYPE=text/html:

TensorFlow 2.0 is tightly integrated with Tensor Flow and offers high performance for deep learning inference through a sim ple API. Siddharth Sharma and Joohoon Lee use examples to show how to opti mize an app using TensorRT with the new Keras APIs in TensorFlow 2.0. They show you tips and tri cks to get the highest performance possible on GPUs and detail examples of how to debug and profile apps using tools by NVIDIA and TensorFlow. You&# 8217\;ll walk away with an overview and resources to get started\, and if you’\;re already familiar with TensorFlow\, you’\;ll also get ti ps on how to get the most out of your application.

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What you'll learn

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