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Introduction

Date: June 11, 2020
Time: 3:00pm - 4:00pm IST
Duration: 1 hour

NVIDIA DeepStream SDK is a complete streaming analytics toolkit for AI-based multi-sensor processing, video and image understanding. DeepStream is for vision AI developers, software partners, startups and OEMs building IVA apps and services. DeepStream frees developers to focus on the core deep learning networks and IP, rather than designing an end-to-end framework from scratch. It’s ideal for building applications for edge devices, workstation appliances, and in the cloud. Process camera images and video for applications such as public safety, retail, traffic, healthcare, industrial, and more.


DeepStream 5.0 is packed with tons of great features that improves the overall usability of the SDK, increases AI capability and improves scalability and manageability of IVA apps. DeepStream 5.0 makes it easy for new developers to get started developing streaming analytics apps. Developers can now build and customize apps in Python using newly improved Python bindings. Triton Inference Server enables developers to deploy a model natively in TensorFlow, TensorFlow-TensorRT, PyTorch, or ONNX in the DeepStream pipeline



By attending this webinar you'll learn:
  • Integration with Triton Inference Server which will enable you to deploy a model natively in TensorFlow, TensorFlow-TensorRT, PyTorch, or ONNX in the DeepStream pipeline
  • Developing Python sample apps in DeepStream
  • Interoperability with Transfer Learning Toolkit to perform transfer learning training on your data/use case
  • Deep Dive in New Features of DS5.0

WEBINAR REGISTRATION

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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

Deepshikha Kumari

Data Scientist, NVIDIA

Deepshikha is a Data Scientist at NVIDIA. where her efforts are focused on building deep learning powered products and solutions . She has an experience of development of DL/ML products and solutions end to end. Deepshikha is a Researcher with a background in Computer Science. Prior to NVIDIA, she worked as a AI researcher in NetApp R&D where she was focused on computer Vision algorithms. She holds a master’s degree in computer science and Mathematics from Indian Institute of Technology, Patna where she mainly worked on NLP and Textual data under supervision of Dr. Pushpak Bhattacharyya. In her bachelor she worked on Autonomous robot as her Bachelor thesis. Her current research areas include – Active Learning, Uncertainty in models, Reinforcement learning and Autonomous application.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018