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Introduction

0:00

Meet Abu Bakr

1:17

Motivation for Computer Vision

5:35

Challenges

7:50

SDKs

9:28

Architecture

12:38

Workflow

14:23

Model Selection

15:00

Coverage

16:42

Models

17:34

Toolkit

18:04

Data Augmentation

18:50

Transfer Learning

21:37

Adding a Class

23:22

model pruning

27:28

Quantization

29:27

Git

30:21

TitleKit

31:46

Azure offerings

32:11

Azure Virtual Machine

32:43

TrueButton Notebook

36:02

Notebook

36:25

Deployment

36:50

Training on Jetson

38:00

Deep Stream

38:58

Zero Memory Copy

40:27

Kubernetes Support

41:47

Pipeline

42:54

DeepStream

43:46

DLI

46:28

Free Courses

46:55

Summary

49:02

Conclusion

49:41
Building Computer Vision Products with NVIDIA and Azure
In this session we will use discover how developers can use the NVIDIA Metropolis SDK to build end-to-end Computer Vision products. We will start with some basics and important things to think about when building AI products using Computer Vision. Then we will move to training, building and deploying our model using the vision AI tools from NVIDIA and Azure. Who Should Attend? Any developers and learners wanting to understand how build AI and Computer Vision Products. What will I learn? 1. How to build AI Computer Vision Products 2. How to work with the NVIDIA Metropolis SDK 3. How to deploy your Computer Vision model using Azure [eventID:18711]

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Microsoft Reactor

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