실전 인공지능으로 이어지는 딥러닝 개념 잡기
딥러닝호형
다양한 인공 신경망의 구조와 동작 원리를 이해하고 좋은 모델을 만드는데 필요한 필수 지식을 전달하는 강의입니다.
入門
딥러닝, 인공신경망, 머신러닝
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.
203 learners
State-of-the-art object recognition models
Various deep learning technologies
With the latest version, YOLOv6
Learn object recognition models and deep learning 🔥
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.
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
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 .
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.
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.
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
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)
All
35 lectures ∙ (4hr 49min)
Course Materials:
All
9 reviews
4.4
9 reviews
$84.70
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