이 과정에서는 딥 러닝을 사용해 이미지 캡션 모델을 만드는 방법을 알아봅니다. 인코더 및 디코더와 모델 학습 및 평가 방법 등 이미지 캡션 모델의 다양한 구성요소에 대해 알아봅니다. 이 과정을 마치면 자체 이미지 캡션 모델을 만들고 이를 사용해 이미지의 설명을 생성할 수 있게 됩니다.
What you'll learn
이미지 캡션 모델의 다양한 구성요소를 이해합니다
이미지 캡션 모델을 학습시키고 평가하는 방법을 알아봅니다
자체 이미지 캡션 모델을 만듭니다
이미지 캡션 모델을 사용해 이미지의 설명을 생성합니다
Details to know
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There is 1 module in this course
이 모듈에서는 딥 러닝을 사용해 이미지 캡션 모델을 만드는 방법을 설명합니다. 인코더 및 디코더와 모델 학습 및 평가 방법 등 이미지 캡션 모델의 다양한 구성요소에 대해 알아봅니다. 이 모듈을 마치면 자체 이미지 캡션 모델을 만들고 이를 사용해 이미지의 설명을 생성할 수 있게 됩니다.
What's included
2 videos1 reading1 assignment
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Macquarie University
Northwestern University
Johns Hopkins University
University of Washington
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