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AI Development

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Computer Vision

Latest deep learning technology and object recognition

This course will teach you from the early YOLO model, a real-time object recognition model, to the latest model. In addition, you will learn various deep learning techniques along with object recognition.

(4.4) 9 reviews

203 learners

  • dlbro
딥러닝
objectdetection
deeplearning
yolo
컴퓨터비전
Deep Learning(DL)
Computer Vision(CV)

Reviews from Early Learners

What you will learn!

  • State-of-the-art object recognition models

  • Various deep learning technologies

With the latest version, YOLOv6
Learn object recognition models and deep learning 🔥

Real-time object recognition model
All versions of YOLO at once! 🗂️

Object recognition models are a popular topic, ranking among the top five keywords in computer vision. In this lecture, we'll learn about object recognition models using the latest model, YOLOv6. Object recognition models have been developed by actively utilizing the latest deep learning techniques. Therefore, while studying object recognition, you'll also gain exposure to various deep learning techniques . (All lecture materials are provided.)

This course requires a basic understanding of deep learning and is designed for those new to object recognition. The goal is to broaden your understanding of object recognition models and deep learning knowledge . Therefore, while focusing on object recognition, I will also introduce a wide range of deep learning techniques.

Lecture Features ✨

1️⃣

Real-time object recognition model
YOLOv1 to v6
All-in-one lecture covering

2️⃣

Object recognition, artificial neural networks,
Normalization techniques, etc.
Includes various deep learning technologies

3️⃣

Until 2022
42 papers and
See AI Report Part 1


What is the YOLO model? 🤔

YOLO is one of the best models for real-time object recognition . The latest model, YOLOv6 (2022), boasts extremely high image processing speed and is lightweight, making it suitable for practical industrial applications .


What you'll learn 📚

  1. Introduction to Object Recognition and Evaluation Metrics
  2. YOLOv1
  3. YOLOv2
  4. YOLOv3
  5. YOLOv4
  6. YOLOv6
  7. YOLOv6 Practice
  8. How to Become an Expert (How to Read Papers)

Expected Questions Q&A 💬

Q. Can I understand object recognition models with only basic knowledge of deep learning?

This course is designed for those with basic knowledge of deep learning. While it may seem challenging, it's a valuable resource for expanding your understanding. The course's difficulty has been adjusted to maximize comprehension.

Q. Why should I study object recognition?

Object recognition models are being developed by actively leveraging the latest image processing technologies, allowing you to learn a variety of techniques simultaneously, making them a valuable field for broadening your knowledge of deep learning. Therefore, if you're interested in deep learning, this course is definitely beneficial. Furthermore, it's a highly versatile technology.

Q. What program do you use?

YOLOv6 training is conducted on Google Colaboratory, which requires no separate installation. A free Google account is required, and failure to use Colaboratory may result in problems with the training.


Why Deep Learning? ✒️

Based on my knowledge of mathematics/data analysis , experience with numerous deep learning/machine learning projects , and career as a research engineer, I will point out the content you must study.

  • Numerous SCI(E) papers and presentations at international conferences
  • Many universities advise on artificial intelligence
  • Author of "Introduction to PyTorch for Deep Learning" (selected as a 2022 Sejong Books Academic Excellence Book)

Recommended for
these people

Who is this course right for?

  • Anyone who wants to learn object recognition quickly

  • Those who want to acquire various deep learning knowledge

  • Those preparing for graduate school related to artificial intelligence

Need to know before starting?

  • Understanding the concept of deep learning leading to practical artificial intelligence

Hello
This is

4,825

Learners

332

Reviews

259

Answers

4.7

Rating

7

Courses

안녕하세요.

딥러닝/머신러닝 관련 유튜브를 운영하는 딥러닝 호형입니다.

수학/데이터 분석을 전공하고 다수의 딥러닝 프로젝트를 완료하고 수행하고 있습니다.

 

머신러닝, 고급 머신러닝, 딥러닝, 최적화 이론, 강화 학습 등의 인공지능 내용과 선형 대수학, 미적분, 확률과 통계, 해석학, 수치해석 등의 수학 내용까지 여러분들과 공유할 수 있는 지식을 가지고 있습니다. 

 

모두 만나서 반갑습니다!

 

* 관련 이력

현) SCI(E) 논문, 국제 학회 발표 다수

현) 인공지능 관련 대학교 자문 다수

전) K기업 전임 연구원 - 데이터 분석 및 시뮬레이션: 신제품 개발, 성능 향상, 신기술 적용

"딥러닝을 위한 파이토치 입문" 저서 (세종도서 학술부문 2022 우수도서로 선정)

 

 

 

 

Curriculum

All

35 lectures ∙ (4hr 49min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

9 reviews

4.4

9 reviews

  • 큰돌님의 프로필 이미지
    큰돌

    Reviews 12

    Average Rating 5.0

    5

    100% enrolled

    최고의 강의

    • 딥러닝호형
      Instructor

      수강평 정말 감사드립니다!!

  • Diar님의 프로필 이미지
    Diar

    Reviews 2

    Average Rating 2.0

    3

    100% enrolled

    강의 내용은 좋으나 실습 내용이 너무 적네요.

    • toogood님의 프로필 이미지
      toogood

      Reviews 8

      Average Rating 3.9

      5

      97% enrolled

      • Temmy님의 프로필 이미지
        Temmy

        Reviews 2

        Average Rating 4.5

        4

        100% enrolled

        YOLO를 시작하시는 분들이라면 전체적으로 한번정도는 봐도 괜찮은 이론 강의. 수학적 개념이 대부분입니다. 실습은 없다고 생각하시면 되요

      • 황정호님의 프로필 이미지
        황정호

        Reviews 2

        Average Rating 5.0

        5

        31% enrolled

        감사합니다.

      $84.70

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