Hi DataScience enthusiast
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Are you fresher or professional looking out to make your path as "Data Scientist" and here something for you for upcoming 30days(prepare yourself and get hired )
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DataScience interview questions #day25
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If you missed #day1  #day2 #day3  #day4 #day5   #day6  #day7   #day8  #day9  #day10  #day11 and #day12 #day13 #day14 #day15 #day16 #day17  #day18 #day19 #day20 #day21 do have a look

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#datascience #machinelearning #artificiallearning
https://m.facebook.com/story.php?story_fbid=148356479903743&id=110658260340232&sfnsn=mo
Posted by uniqueone
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EfficientDet : Object Detection 분야 11월20일 State-of-the-art(SOTA) 달성 논문

성능도 우수하면서 기존 대비 연산 효율이 압도적으로 좋아 연산량, 연산 속도에서 매우 효율적인 모델이라고 합니다.

Image Classification 을 위한 EfficientNet을 Object Detection에 접목시켜서 매우 우수한 성능을 달성.

Google Research, Brain Team 의 논문.

정확하게는 모르지만, 자료만 보면

기존에 정확율은 좀 떨어지더라도 연산량/속도에서 YOLO 가 가장 좋은 편이라고 알고 있었는데

이 논문은 연산량/속도 효율성과 정확도에서 모두 압도적인 것 같네요.

자세한 내용은 아래 링크해 놓은 논문과 이 논문을 리뷰한 글 보세요.

논문: https://arxiv.org/pdf/1911.09070v1.pdf

한글 리뷰: https://hoya012.github.io/blog/EfficientDet-Review/
https://www.facebook.com/groups/KerasKorea/permalink/3137953302887280/?sfnsn=mo
Posted by uniqueone
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Towards Data Science(TDS)에서 지금까지 올라온 주옥같은 포스트들을 주제별로 분류하여 제공하였습니다.

https://www.facebook.com/groups/datakorea/permalink/1349148285253979/?sfnsn=mo
Posted by uniqueone
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