Notice
Recent Posts
Recent Comments
Link
| 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
- 파이썬
- 기계학습
- Programmers
- 프로그래머스
- Linear Model
- 알고리즘
- 일기
- Django
- Linear Regression
- gradient descent
- Python
- NLP
- BFS
- GPT
- 프롬프트
- 머신러닝
- rnn
- 부스트캠프
- LLM
- LeetCode
- ChatGPT
- transformer
- machinelearning
- Deeplearning
- 코딩테스트
- 코테
- attention
- deque
- prompt engineering
- dl
Archives
- Today
- Total
목록논문 (1)
크크루쿠쿠
[논문 리뷰] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
논문 주소: https://arxiv.org/abs/1905.11946 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available. In this paper, we systematically study model scaling and identify that carefully balancing n arxiv.org Abstract CNN 은 fix..
DeepLearning/논문 리뷰
2021. 8. 10. 01:48