프로젝트 정리

인공지능 여름캠프 - 관상 프로젝트

여니여니_ 2019. 9. 3. 00:49

 

<참고 자료>

 

https://www.pyimagesearch.com/2018/06/04/keras-multiple-outputs-and-multiple-losses/

 

Keras: Multiple outputs and multiple losses - PyImageSearch

Learn how to use multiple fully-connected heads and multiple loss functions to create a multi-output deep neural network using Python, Keras, and deep learning.

www.pyimagesearch.com

https://arxiv.org/abs/1503.03832

 

FaceNet: A Unified Embedding for Face Recognition and Clustering

Despite significant recent advances in the field of face recognition, implementing face verification and recognition efficiently at scale presents serious challenges to current approaches. In this paper we present a system, called FaceNet, that directly le

arxiv.org

https://www.youtube.com/watch?v=0k3X-9y_9S8

 

https://m.blog.naver.com/PostView.nhn?blogId=laonple&logNo=220686328027&proxyReferer=https%3A%2F%2Fwww.google.com%2F

 

[Part Ⅴ. Best CNN Architecture] 5. GoogLeNet [1] - 라온피플 머신러닝 아카데미 -

Part I. Machine Learning Part V. Best CNN Architecture Part VII. Semantic Segmen...

blog.naver.com

 

https://datascienceschool.net/view-notebook/47c57f9446224af08f13e1f3b00a774e/

 

Data Science School

Data Science School is an open space!

datascienceschool.net

 

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