AI & Deep Learning
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Introduction

Date: April 23 2020
Time: 3:00 pm - 4:00pm IST
Duration: 1 hour


Data scientists and artificial intelligence (AI) researchers require accuracy, simplicity, and speed for deep learning success. Faster training and iteration ultimately mean faster innovation and faster time to market.


Today's deep learning solutions rely almost exclusively on NVIDIA GPU-accelerated computing to train and speed up challenging applications such as image, handwriting, and voice identification. Deep learning systems with NVIDIA GPUs offer several advantages: Accelerated DNN and Training Performance, Fast AI Application Development and GPUs built for deep learning.



By attending this webinar, you will learn about:
  • Recent technological advancements in the fields of Deep Learning, Machine Learning and Advanced Data Analytics
  • The anatomy of a typical AI project using Jetson Nano
  • Recipe for setting up a successful AI practice in an organization

WEBINAR REGISTRATION

THANK YOU FOR REGISTERING FOR THE WEBINAR



You will receive an email with instructions on how to join the webinar shortly.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speaker

Sundara Ramalingam N

Head of Deep Learning, NVIDIA India

Sundara Ramalingam N is the Head of Deep Learning practice at NVIDIA India. He is a Mechanical Engineer has a Master’s in Business Administration. He has a strong technical background and his areas of interest include Deep Learning, Big Data Analytics, IoT and Automotive Solutions. He has more than twenty years of experience in solutions involving Visual Computing, Virtualization and High Performance Computing. He also has exposure to the work cultures of multiple countries in the Asia Pacific region.

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Register

Webinar: Description here

Date & Time: Wednesday, April 22, 2018