https://github.com/exizt/dl-cats-vs-dogs-kaggle
https://github.com/exizt/dl-cats-vs-dogs-kaggle
deep-learning kaggle machine-learning python
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/exizt/dl-cats-vs-dogs-kaggle
- Owner: exizt
- License: gpl-2.0
- Created: 2021-05-30T16:38:35.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2024-01-10T00:12:44.000Z (over 1 year ago)
- Last Synced: 2025-01-06T04:28:00.589Z (4 months ago)
- Topics: deep-learning, kaggle, machine-learning, python
- Language: Jupyter Notebook
- Homepage:
- Size: 6.16 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: LICENSE
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README
# 캐글 Dogs-vs-Cats 연습
## 개요
캐글 Dogs vs. Cats (https://www.kaggle.com/c/dogs-vs-cats) 의 데이터셋을 가져와서 딥러닝을 하는 미니 프로젝트.
nbviewer로 코드 보기 (https://nbviewer.jupyter.org/github/exizt/cats-vs-dogs/blob/master/output/my-dogs-vs-cats-study.ipynb)
## 폴더, 파일 구성
* input/dogs-vs-cats/
* test1.zip, train.zip 파일을 위치시킨다. (git에는 포함시키지 않았음)
* output
* **my-dogs-vs-cats-study.ipynb** : 주피터 노트북 파일
* my-dogs-vs-cats-study.md : 렌더링된 파일
* my-dogs-vs-cats-study.py : 렌더링된 파일
* extract/ : 압축해제하면서 생길 폴더
* train/ : 이미지 분류를 시행하면서 생길 폴더
## 참조 링크
* https://thedatafrog.com/en/articles/dogs-vs-cats/#Pet-cleaning:-improving-the-dataset-quality
* https://thedatafrog.com/en/articles/image-recognition-transfer-learning/
* (코드 흐름 참조) https://www.kaggle.com/artemygolovnev/vgg16
* https://www.kaggle.com/databeru/dogs-cats-classification-tensorflow-acc-99-25