Even though you studied CNN, you still don't understand it? I will briefly explain the basic operation principles of CNN, only the key parts.
Understanding the basic concepts of Convolutional Neural Network (CNN)
Learn how convolution operations and filters work
Implementing Convolution Operations Using Numpy and Visualizing Results
Implementing Convolution Operations and Visualizing Results Using PyTorch
Understanding CNN's learning principles and the meaning of input/output channels
Who is this course right for?
Anyone who wants to learn the basics of CNN
People who say they don't understand CNN even after learning it
For those who want to understand CNN properly
Need to know before starting?
There is no prerequisite knowledge.
(Optional) Basic knowledge of deep learning
(Optional) Experience using Numpy and PyTorch
(Optional) Understanding of linear algebra and basic mathematical concepts
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주요 경력
(현) 국내 IT 대기업 AI Research Engineer
(전) AI 스타트업 AI Research Engineer
AI 연구/개발 이력
다수의 AI 프로젝트 진행 및 AI 프로덕트 출시 경험
다수의 AI 연구 및 Top-Tier Conference 논문 게재 경험
Generative AI 전문가
기타 이력
국내 학회 인공지능 세션 튜토리얼 강사
국내 대기업 AI 강의 초빙 강사
사내 생성 AI 세미나 강사
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15 lectures ∙ (49min)
Course Materials: