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FNN 와 비교했을때 CNN의 장점
- 적은 양의 parameter로 학습 가능함
- CNN은 parameter 공유가 가능함
- Sparsity of connections ( 결과값의 한 픽셀은 전체 이미지의 한 부분)
https://www.youtube.com/c/Deeplearningai
DeepLearningAI
Welcome to the official DeepLearning.AI YouTube channel! Here you can find the videos from our Coursera programs on machine learning as well as recorded events. DeepLearning.AI was founded in 2017 by machine learning and education pioneer Andrew Ng to fill
www.youtube.com
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728x90
FNN 와 비교했을때 CNN의 장점
- 적은 양의 parameter로 학습 가능함
- CNN은 parameter 공유가 가능함
- Sparsity of connections ( 결과값의 한 픽셀은 전체 이미지의 한 부분)
https://www.youtube.com/c/Deeplearningai
DeepLearningAI
Welcome to the official DeepLearning.AI YouTube channel! Here you can find the videos from our Coursera programs on machine learning as well as recorded events. DeepLearning.AI was founded in 2017 by machine learning and education pioneer Andrew Ng to fill
www.youtube.com
728x90
'Vision' 카테고리의 다른 글
| [CNN] 서브샘플링 Subsampling (0) | 2023.01.25 |
|---|---|
| [CNN] CNN의 구조 (0) | 2023.01.25 |
| [CNN] LeNet-5 구조 (0) | 2022.10.13 |
| [CNN] CNN 풀링 Pooling (0) | 2022.10.11 |
| [CNN] 3D CNN (convolution Neural Network) (0) | 2022.09.30 |
