PRICING AND
REGISTRATION

CONFERENCE AND TRAINING REGISTRATION

Tuesday, October 23 - Wednesday, October 24

SEE WHAT'S INCLUDED
Pass Type Ends Oct. 19
Regular Rate		 Onsite Rate
CONFERENCE $480 $520
CONFERENCE - Academic/Non-Profit (50% discount)* $240 $260
CONFERENCE - Government (Free)* $0 $0
CONFERENCE & TRAINING $960 $1060
CONFERENCE & TRAINING - Academic, Non-Profit, and Government (50% discount)* $480 $530
GROUP SAVINGS - Purchase 5 or more of the same pass type to receive a 25% discount.

* Discount pricing available for educational institutions, government agencies and other non-profit organizations. Must register with government or university issued email address to qualify, and present credentials at check-in to receive badge.

CLOSED

DLI WORKSHOP REGISTRATION

Monday, October 22
Choose one of these full-day workshops.
Pass Type Rate
Fundamentals of Deep Learning for Computer Vision
 
$300
Fundamentals of Accelerated Computing with CUDA C/C++
 
$300
Deep Learning for Healthcare Image Analysis
 
$300
Fundamentals of Deep Learning for Natural Language Processing
 
$300
CLOSED

PACKAGE COMPARISON
Pass Type CONFERENCE AND TRAINING CONFERENCE ONLY DLI WORKSHOP
INSTRUCTOR-LED COURSES

SESSIONS, TALKS, AND TUTORIALS

KEYNOTES

EXHIBITS

LUNCH

CONFERENCE MATERIALS1

DLI WORKSHOP ON MONDAY, OCTOBER 22

1. Conference materials include access to post event recordings and presentation files, and a GTC-branded bag and t-shirt.

AI FOR GOVERNMENT 101

PRESENTED BY BOOZ ALLEN HAMILTON

Monday, October 22

Attend this half-day session to hear how AI is transforming operations now and how deep learning will influence the future.
Pass Type Rate
AI for Government 101
 
$0 with GTC registration
CLOSED

REGISTRATION QUESTIONS

Having difficulty registering online? Please contact gtc_registration@nvidia.com for help, 
or leave a message at +1-408-486-2700, and we will return your call within 24 hours.

Fundamentals of Deep Learning for Computer Vision

Prerequisites: Basic technical background

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.

In this hands-on course, you’ll learn the basics of deep learning by training and deploying neural networks. You’ll learn how to:

  • Implement common deep learning workflows, such as image classification and object detection.
  • Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.
  • Deploy your neural networks to start solving real-world problems.

Upon completion, you’ll be able to start solving problems on your own with deep learning.

Fundamentals of Accelerated Computing with CUDA C/C++

Prerequisites: Basic C/C++ competency

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world's fastest massively parallel GPUs. Experience C/C++ application acceleration by:

  • Accelerating CPU-only applications to run their latent parallelism on GPUs
  • Utilizing essential CUDA memory management techniques to optimize accelerated applications
  • Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
  • Leveraging command line and visual profiling to guide and check your work

Upon completion of this workshop, you'll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.

Deep Learning for Full Motion Video Analytics

Prerequisites: Basic familiarity with concepts of deep learning and convolutional neural networks

Smart Cities collect huge amounts of video footage that require advanced deep learning techniques to transform data into actionable insights. Learn how to deploy object detection and neural networks to work on real-time, large-scale video streams. In this course, you’ll learn how to:

  • Train and evaluate deep learning models using the TensorFlow Object Detection API
  • Explore the strategies and trade-offs involved in developing high-quality neural network models for track moving objects in large-scale video datasets
  • Optimize inference times using TensorRT for real-time applications

Upon completion, you’ll be able to deploy object detection and tracking networks to work on real-time, large-scale video streams.

Deep Learning for Healthcare Image Analysis

Prerequisites: Basic familiarity with concepts of deep learning and convolutional neural networks

This hands-on course explores how to apply Convolutional Neural Networks (CNNs) to MRI scans to perform a variety of medical tasks and calculations. You’ll learn how to:

  • Perform image segmentation on MRI images to determine the location of the left ventricle.
  • Calculate ejection fractions by measuring differences between diastole and systole using CNNs applied to MRI scans to detect heart disease.
  • Apply CNNs to MRI scans of LGGs to determine 1p/19q chromosome co-deletion status.

Upon completion of this course, you’ll be able to apply CNNs to MRI scans to conduct a variety of medical tasks.

PACKAGE COMPARISON

 
Conference
+ Training
Conference
EXHIBITS
Pre-conference
Training

Conference Sessions

 

 

Training / Hands-on Labs

 

 

 

Talks and Tutorials

 

 

Keynotes

 

 

Exhibits

 

Lunch

Conference Materials1

 

Pre-GTC DLI Workshop
(Monday, October 22)

 

 

 

1. Conference materials include access to post event recordings and presentation files, and a GTC-branded bag and t-shirt.

Fundamentals of Deep Learning for Natural Language Processing

Prerequisites: Basic experience with neural networks

Explore the latest techniques for understanding textual input using natural language processing (NLP). You'll learn how to:

  • Convert text to machine understandable representation and classical approaches
  • Implement distributed representations (embeddings) and understand their properties
  • Train Machine Translators from one language to another

Upon completion, you'll be proficient in NLP using embeddings in similar applications.

Want to leverage the power of AI, but not sure where to start? Curious how other government agencies are using AI? 

Session topics include:

  • Bootstrap AI Projects within the Government
  • Building Blocks of AI, Improving ROI with Computer Vision and Natural Language Processing
  • How to effectively recruit and train employees while building your AI capability
  • The Future of AI
Agenda & Attend
Resources
GTC Around the World