정성훈
    ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
  http://itsys.hansung.ac.kr/cgi-bin/kplus/board/include/DOWNLOAD.php3?table=my_allpapers&l=2245&inc=local&f=filelink&p=215



  등록일 : 2019-08-20 [13:32] 조회 : 124 다운 : 0   
 
△ 이전글SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
▽ 다음글MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
지능시스템기초(뉴로퍼지)
번호 ⓒ 제 목 이름 조회 등록일
l기말과제 최종보고서 내용
39 └❶ lLearning Hierarchical Features from Generative Models 답변 정성훈 161 08-20
38 └❶ lRecGAN: Recurrent Generative Adversarial Networks for Recommendatio... 답변 정성훈 137 08-20
37 └❶ lDeep Image Compression via End-to-End Learning 답변 정성훈 127 08-20
36 └❶ lDeep Autoencoder for Recommender Systems: Parameter Influence Analy... 답변 정성훈 127 08-20
35 └❶ lRegion-based Convolutional Networks for Accurate Object Detection a... 답변 정성훈 149 08-20
34 └❶ lDensely Connected Convolutional Networks 답변 정성훈 159 08-20
33 └❶ lSqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size 답변 정성훈 136 08-20
32 └❶ lShuffleNet: An Extremely Efficient Convolutional Neural Network for... 답변 정성훈 124 08-20
31 └❶ lMobileNets: Efficient Convolutional Neural Networks for Mobile Visi... 답변 정성훈 105 08-20
30 └❶ lMnasNet: Platform-Aware Neural Architecture Search for Mobile 답변 정성훈 103 08-20
29 └❶ lFeature Pyramid Networks for Object Detection 답변 정성훈 128 08-20
28 └❶ l감각치환 기술 동향 답변 정성훈 128 08-20
27 └❶ l심층 신경망 기반 대화처리 기술 동향 답변 정성훈 138 08-20
26 └❶ l자동 기계학습(AutoML) 기술 동향 답변 정성훈 121 08-20
25 └❶ l임베디드 시스템용 딥러닝 추론엔진 기술 동향 답변 정성훈 179 08-20

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