Presenter Details

Adam Henryk Grzywaczweski
Adam Henryk Grzywaczweski
Solution Architect

Adam Grzywaczewski is a deep learning solution architect at NVIDIA, where his primary responsibility is to support a wide range of customers in delivery of their deep learning solutions. Adam is an applied research scientist specializing in machine learning with a background in deep learning and system architecture. Previously, he was responsible for building up the UK government’s machine-learning capabilities while at Capgemini and worked in the Jaguar Land Rover Research Centre, where he was responsible for a variety of internal and external projects and contributed to the self-learning car portfolio.

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Halls C1&C2
Wednesday - October 17, 2018
09:00 AM
04:15 PM

Fundamentals of Deep Learning with Computer Vision

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

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DLI Instructor-Led Workshop

Halls C4&C5
Thursday - October 18, 2018
01:00 PM
03:00 PM

Anomaly Detection with Variational Autoencoders

At this session you will be training a variational autoencoder to detect anomalies within data. Variational autoencoders are rooted in Bayesian inference and can outperform traditional techniques. There are use cases for anomaly detection in almost every industry including: cyber security, finance, healthcare, retail, telecom, ....

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DLI Instructor-Led Training 

Hall C2
Thursday - October 18, 2018
03:30 PM
05:30 PM

Develop Scalable IVA Applications using DeepStream

Learn how to create AI-based video analytics applications using DeepStream to transform video into valuable insights. Understanding video requires multi-stream decoding/encoding, scaling, color space conversion, tracking, and multi-stage inference. DeepStream SDK allows developers to focus on core deep learning development, while offering the best system level software optimization and performance. By attending this, you'll learn how to: .....

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DLI Instructor-Led Training

Hall B
Thursday - October 18, 2018
04:00 PM
04:35 PM

Deep Learning Infrastructure for Autonomous Vehicles

We'll introduce deep learning infrastructure for building and maintaining autonomous vehicles. This includes techniques for managing the lifecycle of deep learning models from definition, training and deployment to reloading and life-long learning. DNN autocurates and pre-labels data in the loop...

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Autonomous Vehicle Technologies

Hall D
Thursday - October 18, 2018
05:00 PM
05:45 PM

The Path to GPU as a Service in Kubernetes

Kubernetes modern production patterns for Deep Learning applications and a deep dive into the Kubernetes GPU subsystem and its challenges (performance, scheduling, monitoring). Autonomous vehicles, face recognition, High Performance Computing, Virtual Reality, NVIDIA GPUs are enabling a new computer era with cloud computing at its center. ....

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Developer Tools and Profesional Visualization