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Introduction to Deep Learning with OpenCV Preview

Introduction to Deep Learning with OpenCV

With Jonathan Fernandes Liked by 979 users
Duration: 49m Skill level: Intermediate Released: 6/17/2019

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Course details

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.

Skills you’ll gain

Meet the instructor

Learner reviews

4.6 out of 5

336 ratings
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  • Ganesh Kumar Ganesh Kumar

    Ganesh Kumar

    Student at Rajalakshmi Engineering College

    5/5 August 6, 2024
    It was actually very interesting to watch. I can follow the content without getting distracted or bored
    Helpful · Report
  • Maribel Soto-Handy, Ph. D, M.S. SME Maribel Soto-Handy, Ph. D, M.S. SME

    Maribel Soto-Handy, Ph. D, M.S. SME

    Professor of Practice: Master's degree in Computer Science & Ph.D. Philosophy

    5/5 October 4, 2023
    love the work. Review the certificate --for my lecture...
    Helpful · Report
  • Yasuri Ranasinghe Yasuri Ranasinghe

    Yasuri Ranasinghe

    UI | UX Designer & Developer Intern | Undergraduate at University of Sri Jayewardenepura

    4/5 September 17, 2023
    This course content is very clear and understanding
    Helpful · Report

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Test your knowledge 4 quizzes
  • Learn on the go Access on tablet and phone

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