딥 러닝 전문화의 네 번째 과정에서는 컴퓨터 비전이 어떻게 발전해 왔는지 이해하고 자율 주행, 얼굴 인식, 방사선 이미지 읽기 등과 같은 흥미로운 애플리케이션에 익숙해질 것입니다.
컨볼루션 신경망
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
39 hours to complete
3 weeks at 13 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
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Assessments
4 assignments
Taught in Korean
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There are 4 modules in this course
CNN의 기본 레이어(풀링, 컨볼루션)를 구현하고 심층 네트워크에 적절하게 스택하여 다중 클래스 이미지 분류 문제를 해결합니다.
What's included
12 videos6 readings1 assignment2 programming assignments2 app items
연구 논문을 통해 Deep CNN에서 사용되는 강력하고 실용적인 트릭과 방법을 바로 확인하고 전이 학습을 자신의 Deep CNN에 적용하십시오.
What's included
14 videos1 reading1 assignment2 programming assignments1 app item
CNN에 대한 새로운 지식을 컴퓨터 시각 인식에서 가장 인기 있고 가장 도전적인 분야 중 하나인 객체 감지에 적용합니다.
What's included
14 videos3 readings1 assignment2 programming assignments1 app item
아트 작품 생성 및 얼굴 인식을 포함한 여러 분야에 CNN을 적용할 수 있는 방법을 살펴보고 나만의 알고리즘을 구현하여 아트 작품을 생성하고 얼굴을 인식할 수 있습니다!
What's included
11 videos5 readings1 assignment2 programming assignments1 app item
Offered by
Recommended if you're interested in Machine Learning
DeepLearning.AI
University of Pennsylvania
Duke University
Duke University
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