| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| 9 | 10 | 11 | 12 | 13 | 14 | 15 |
| 16 | 17 | 18 | 19 | 20 | 21 | 22 |
| 23 | 24 | 25 | 26 | 27 | 28 | 29 |
| 30 | 31 |
Tags
- grad-cam
- xai
- 설명가능한 인공지능
- Interpretability
- 시계열 분석
- 코딩 테스트
- 백준
- cs231n
- 딥러닝
- 머신러닝
- 메타러닝
- meta-learning
- coding test
- SmoothGrad
- AI
- GAN
- keras
- Explainable AI
- 인공지능
- 기계학습
- 설명가능한
- Deep learning
- Artificial Intelligence
- Class activation map
- Machine Learning
- Cam
- Score-CAM
- 코딩테스트
- python
- Unsupervised learning
Archives
- Today
- Total
목록Adversarial defense (1)
iMTE
Interpretable and fine-grained visual explanations for CNNs 내용 정리 [XAI-7]
논문 제목 : Interpretable and fine-grained visual explanations for CNNs 논문 주소 : openaccess.thecvf.com/content_CVPR_2019/html/Wagner_Interpretable_and_Fine-Grained_Visual_Explanations_for_Convolutional_Neural_Networks_CVPR_2019_paper.html CVPR 2019 Open Access Repository Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks Jorg Wagner, Jan Mathias Kohler, Tobias Gindel..
Deep learning study/Explainable AI, 설명가능한 AI
2021. 4. 23. 10:30