Introduction to Deep Learning with OpenCV

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Jonathan Fernandes

49:04

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1. Introduction

001. Generate insights from digital images and video with OpenCV.mp4

00:49

002. What you should know before watching this course.mp4

00:44

003. Install Python and Anaconda.mp4

01:49

004. Create a virtual environment.mp4

02:04

005. Install a text editor.mp4

01:14

2. Deep Learning with OpenCV

006. What is deep learning.mp4

03:42

007. What is OpenCV.mp4

00:53

008. Deep learning for OpenCV.mp4

03:49

3. Image and Videos in OpenCV

009. Viewing images in OpenCV.mp4

05:41

010. Working with color channels.mp4

03:19

011. Viewing videos in OpenCV.mp4

02:48

4. Working with the Deep Neural Networks (dnn) Module

012. Overview of the dnn process.mp4

01:28

013. Working with blobs.mp4

02:08

5. Working with Deep Learning Models

014. Classification for an image Getting the classes.mp4

03:07

015. Classification for an image Inference.mp4

06:02

016. Classification for a video.mp4

04:26

017. YOLOv3.mp4

01:38

018. YOLOv3 in action.mp4

02:44

6. Conclusion

019. Next steps.mp4

00:39

Description

Deep learning is a fairly recent and hugely popular branch of artificial intelligence (AI) that finds patterns and insights in data, including images and video. Its layering and abstraction give deep learning models almost human-like abilities—including advanced image recognition. Using OpenCV—a widely adopted computer vision software—you can run previously trained deep learning models on inexpensive hardware and generate powerful insights from digital images and video. In this course, instructor Jonathan Fernandes introduces you to the world of deep learning via inference, using the OpenCV Deep Neural Networks (dnn) module. You can get an overview of deep learning concepts and architecture, and then discover how to view and load images and videos using OpenCV and Python. Jonathan also shows how to provide classification for both images and videos, use blobs (the equivalent of tensors in other frameworks), and leverage YOLOv3 for custom object detection.

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Artificial Intelligence

Deep Learning

OpenCV

Jonathan Fernandes

Instructor's Courses

I am an experienced Data Scientist and Machine Learning/ Artificial Intelligence consultant that leads teams to create AI products that help meet business objectives. I have led teams to create solutions for a variety of verticals including banking, healthcare, energy, telecoms and travel and transport. Outside of work I spend time with my fabulous family, swim regularly in the sea throughout the year and am actively involved in my local church.

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