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# 2번째 플젝 | ||
# 2번째 플젝 | ||
### Freesound General-Purpose Audio Tagging Challenge | ||
#### Can you automatically recognize sounds from a wide range of real-world environments? | ||
https://www.kaggle.com/c/freesound-audio-tagging |
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## 프로젝트 1차 완료 | ||
## 1eedaegon - 이대곤(KYLius-method) | ||
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### 1. 다음 주제: 동사를 구분하여 작동하는 맛집챗봇(구상) | ||
<p> | ||
지역과 종류, 아침/점심/저녁 키워드를 입력하면 유사도가 가장 높은 메뉴 1개를 추천 | ||
</p> | ||
### 1. 30분만에 개발하는 이미지 인식 프로그램 feat.99.5% 정확도 달성하기(완료) | ||
- MNIST DIGITS RECOGNIZER | ||
<pre> | ||
2018. 4/9 ~ 4/20 | ||
캐글 MNIST 데이터셋을 가지고 99.5% 정확도로 숫자 이미지를 분류하는 모델, 프로그램을 만듬(Tensorflow, CNN 활용). <br> | ||
데이터셋: https://www.kaggle.com/c/digit-recognizer | ||
</pre> | ||
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### 2. | ||
- Freesound General-Purpose Audio Tagging Challenge | ||
<pre> | ||
2018.4.23 ~ 5.4 | ||
캐글 free sound 데이터셋을 가지고 음성 분석하는 모델 혹은 프로그램 제작 | ||
</pre> |