"Machine Learning"의 두 판 사이의 차이
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잔글 (Admin님이 Deep Learning 문서를 Learning 문서로 이동했습니다) |
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| 1번째 줄: | 1번째 줄: | ||
| − | + | ==ril== | |
| − | + | * https://medium.com/technologymadeeasy/the-best-explanation-of-convolutional-neural-networks-on-the-internet-fbb8b1ad5df8 | |
| − | + | * http://nmhkahn.github.io/Casestudy-CNN | |
| − | + | * https://stats.stackexchange.com/questions/205150/how-do-bottleneck-architectures-work-in-neural-networks | |
| − | + | * https://www.quora.com/What-exactly-is-the-degradation-problem-that-Deep-Residual-Networks-try-to-alleviate | |
| − | + | * dl with torch | |
| + | |||
| + | ==dl== | ||
* [[CUDA기타설치]] | * [[CUDA기타설치]] | ||
* nets | * nets | ||
| 16번째 줄: | 18번째 줄: | ||
* [[Generative Models]] | * [[Generative Models]] | ||
* [[Batch Normalization]] | * [[Batch Normalization]] | ||
| − | |||
* [[YOLO]] | * [[YOLO]] | ||
* [https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5 Essential Cheat Sheets for Machine Learning and Deep Learning Engineers] | * [https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5 Essential Cheat Sheets for Machine Learning and Deep Learning Engineers] | ||
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| + | ==[[Recommendation]]== | ||
2017년 6월 23일 (금) 14:34 판
ril
- https://medium.com/technologymadeeasy/the-best-explanation-of-convolutional-neural-networks-on-the-internet-fbb8b1ad5df8
- http://nmhkahn.github.io/Casestudy-CNN
- https://stats.stackexchange.com/questions/205150/how-do-bottleneck-architectures-work-in-neural-networks
- https://www.quora.com/What-exactly-is-the-degradation-problem-that-Deep-Residual-Networks-try-to-alleviate
- dl with torch
dl
- CUDA기타설치
- nets
- dilated cnn
- pathnet
- ResNet
- GoogLeNet (Inception)
- Learning to learn by GD by GD
- Face
- Person re-identification
- Generative Models
- Batch Normalization
- YOLO
- Essential Cheat Sheets for Machine Learning and Deep Learning Engineers