Divider

Inception Webinar - NVIDIA TensorRT

In this webinar we will explore some of the common challenges with deep learning deployment and how they can be addressed with NVIDIA TensorRT. Through an example, we will review a typical workflow for taking a trained deep neural network to production to achieve desired throughput, latency and energy efficiency requirements.

Highlights include:
  1. Overview of deep learning deployment and associated challenge
  2. A deep dive into deep learning deployment workflow with TensorRT
  3. Overview of TensorRT optimizer and runtime engine
  4. TensorRT performance benefits over traditional CPU and GPU deployment approaches
  5. A live demonstration of deploying a TensorFlow model into an app running TensorRT
WEBINAR REGISTRATION
Tuesday, October 31, 2017
11:00am – 12:00am PDT
1 Hour
*Required. Webinar access will be emailed to you.
We value your privacy.
Presented By
Add Presenter 1's Head Shot Image URL (ex: http://info.nvidianews.com/rs/156-OFN-742/images/dan_m.jpg)
Fausto Milletari
Ph.D. candidate at the Technical University of Munich

Fausto Milletari is a Ph.D. candidate at the Technical University of Munich (TUM) since October 2013. After earning his M.Sc. in informatics, passed with high distinction, he joined the chair for Computer Aided Medical Procedures, directed by Professor Nassir Navab. Fausto's major research topic is segmentation of ultrasound images of the brain. His work focuses on pattern recognition and machine learning, and in particular on voting-based approaches using state-of-the-art learning techniques.
 
Add Presenter 2's Head Shot Image URL (ex: http://info.nvidianews.com/rs/156-OFN-742/images/dan_m.jpg)
Shashank Prasanna
Product Marketing Manager, NVIDIA

Shashank Prasanna is a product marketing manager at NVIDIA where he focuses on deep learning products and applications. Prior to joining NVIDIA, Shashank worked for MathWorks, makers of MATLAB, focusing on machine learning and data analytics, and for Oracle Corp. designing and developing CRM software. Shashank holds an M.S. in electrical engineering from Arizona State University.
 
Add Presenter 3's Head Shot Image URL (ex: http://info.nvidianews.com/rs/156-OFN-742/images/dan_m.jpg)
Add Presenter 3's Name (John Smith)
Add Presenter 3's Title (ex: CMO, ABC Company)

Add Presenter 3's Bio (2-3 Sentences)
Add Presenter 4's Head Shot Image URL (ex: http://info.nvidianews.com/rs/156-OFN-742/images/dan_m.jpg)
Add Presenter 4's Name (John Smith)
Add Presenter 4's Title (ex: CMO, ABC Company)

Add Presenter 4's Bio (2-3 Sentences)


HOSTED BY
Host1
Host1
 
Host2
Host1
 
Host2
 
Host3
Host1
 
Host2
 
Host3
 
Host4