SlideShare une entreprise Scribd logo
1  sur  47
Télécharger pour lire hors ligne
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
nykergoto’s blog
•
•
•
•
•
•
•
•
•
https://deepage.net/machine_learning/2017/08/10/reinforcement-learning.html
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•

Contenu connexe

Tendances

2012 03-27 developers e-commercedag presentatie1 magento
2012 03-27 developers e-commercedag presentatie1 magento2012 03-27 developers e-commercedag presentatie1 magento
2012 03-27 developers e-commercedag presentatie1 magentoCombell NV
 
【Unite 2017 Tokyo】Unityライティング最新情報
【Unite 2017 Tokyo】Unityライティング最新情報【Unite 2017 Tokyo】Unityライティング最新情報
【Unite 2017 Tokyo】Unityライティング最新情報Unite2017Tokyo
 
Услуги для финансового сектора (укр.)
Услуги для финансового сектора (укр.)Услуги для финансового сектора (укр.)
Услуги для финансового сектора (укр.)BDO Ukraine LLC
 
Seminario Como aprovechar las redes sociales para vender más
Seminario Como aprovechar las redes sociales para vender másSeminario Como aprovechar las redes sociales para vender más
Seminario Como aprovechar las redes sociales para vender másPymes 2.0
 
2012 03-27 developers e-commercedag presentatie2 drupal
2012 03-27 developers e-commercedag presentatie2 drupal2012 03-27 developers e-commercedag presentatie2 drupal
2012 03-27 developers e-commercedag presentatie2 drupalCombell NV
 
150630 투자유치제안서 텔라(v0.8)
150630 투자유치제안서 텔라(v0.8)150630 투자유치제안서 텔라(v0.8)
150630 투자유치제안서 텔라(v0.8)Yuha Jin
 
Building a Social Agency
Building a Social AgencyBuilding a Social Agency
Building a Social AgencyArgyle Social
 
New Media Drivers License Final Presentation
New Media Drivers License Final PresentationNew Media Drivers License Final Presentation
New Media Drivers License Final PresentationJustin Costeiu
 
Las Tecnologías de Información y Comunicación en la formación inicial docente...
Las Tecnologías de Información y Comunicación en la formación inicial docente...Las Tecnologías de Información y Comunicación en la formación inicial docente...
Las Tecnologías de Información y Comunicación en la formación inicial docente...María Janeth Ríos C.
 
Зачем на самом деле клиенты приходят на ваш сайт
Зачем на самом деле клиенты приходят на ваш сайтЗачем на самом деле клиенты приходят на ваш сайт
Зачем на самом деле клиенты приходят на ваш сайтJulia Yakovleva
 
From productivity to sabotage - tester in 2020
From productivity to sabotage - tester in 2020From productivity to sabotage - tester in 2020
From productivity to sabotage - tester in 2020Sławomir Radzymiński
 
Velký osobní výkon – proč a jak
Velký osobní výkon – proč a jakVelký osobní výkon – proč a jak
Velký osobní výkon – proč a jakMattes91
 
End Point Assessment: The Present Landscape & some general thoughts for consi...
End Point Assessment: The Present Landscape & some general thoughts for consi...End Point Assessment: The Present Landscape & some general thoughts for consi...
End Point Assessment: The Present Landscape & some general thoughts for consi...The Pathway Group
 
Audi Brand Analysis
Audi Brand AnalysisAudi Brand Analysis
Audi Brand AnalysisGieob Son
 
Noon conference - Phuripat
Noon conference - PhuripatNoon conference - Phuripat
Noon conference - PhuripatPhuripat
 
Presentation 2020
Presentation 2020Presentation 2020
Presentation 2020GiangVuong5
 
FTS presentation
FTS presentationFTS presentation
FTS presentationFeroz Khan
 
Power factor
Power factorPower factor
Power factorali raza
 

Tendances (20)

2012 03-27 developers e-commercedag presentatie1 magento
2012 03-27 developers e-commercedag presentatie1 magento2012 03-27 developers e-commercedag presentatie1 magento
2012 03-27 developers e-commercedag presentatie1 magento
 
【Unite 2017 Tokyo】Unityライティング最新情報
【Unite 2017 Tokyo】Unityライティング最新情報【Unite 2017 Tokyo】Unityライティング最新情報
【Unite 2017 Tokyo】Unityライティング最新情報
 
Услуги для финансового сектора (укр.)
Услуги для финансового сектора (укр.)Услуги для финансового сектора (укр.)
Услуги для финансового сектора (укр.)
 
Seminario Como aprovechar las redes sociales para vender más
Seminario Como aprovechar las redes sociales para vender másSeminario Como aprovechar las redes sociales para vender más
Seminario Como aprovechar las redes sociales para vender más
 
2012 03-27 developers e-commercedag presentatie2 drupal
2012 03-27 developers e-commercedag presentatie2 drupal2012 03-27 developers e-commercedag presentatie2 drupal
2012 03-27 developers e-commercedag presentatie2 drupal
 
150630 투자유치제안서 텔라(v0.8)
150630 투자유치제안서 텔라(v0.8)150630 투자유치제안서 텔라(v0.8)
150630 투자유치제안서 텔라(v0.8)
 
Building a Social Agency
Building a Social AgencyBuilding a Social Agency
Building a Social Agency
 
New Media Drivers License Final Presentation
New Media Drivers License Final PresentationNew Media Drivers License Final Presentation
New Media Drivers License Final Presentation
 
Las Tecnologías de Información y Comunicación en la formación inicial docente...
Las Tecnologías de Información y Comunicación en la formación inicial docente...Las Tecnologías de Información y Comunicación en la formación inicial docente...
Las Tecnologías de Información y Comunicación en la formación inicial docente...
 
Зачем на самом деле клиенты приходят на ваш сайт
Зачем на самом деле клиенты приходят на ваш сайтЗачем на самом деле клиенты приходят на ваш сайт
Зачем на самом деле клиенты приходят на ваш сайт
 
From productivity to sabotage - tester in 2020
From productivity to sabotage - tester in 2020From productivity to sabotage - tester in 2020
From productivity to sabotage - tester in 2020
 
Velký osobní výkon – proč a jak
Velký osobní výkon – proč a jakVelký osobní výkon – proč a jak
Velký osobní výkon – proč a jak
 
End Point Assessment: The Present Landscape & some general thoughts for consi...
End Point Assessment: The Present Landscape & some general thoughts for consi...End Point Assessment: The Present Landscape & some general thoughts for consi...
End Point Assessment: The Present Landscape & some general thoughts for consi...
 
Audi Brand Analysis
Audi Brand AnalysisAudi Brand Analysis
Audi Brand Analysis
 
Astrology Petros Ellinas
Astrology Petros EllinasAstrology Petros Ellinas
Astrology Petros Ellinas
 
Noon conference - Phuripat
Noon conference - PhuripatNoon conference - Phuripat
Noon conference - Phuripat
 
Presentation 2020
Presentation 2020Presentation 2020
Presentation 2020
 
FTS presentation
FTS presentationFTS presentation
FTS presentation
 
Power factor
Power factorPower factor
Power factor
 
Ground Floor Business
Ground Floor BusinessGround Floor Business
Ground Floor Business
 

Plus de Fujimoto Keisuke

A quantum computational approach to correspondence problems on point sets
A quantum computational approach to correspondence problems on point setsA quantum computational approach to correspondence problems on point sets
A quantum computational approach to correspondence problems on point setsFujimoto Keisuke
 
F0-Consistent Many-to-many Non-parallel Voice Conversion via Conditional Auto...
F0-Consistent Many-to-many Non-parallel Voice Conversion via Conditional Auto...F0-Consistent Many-to-many Non-parallel Voice Conversion via Conditional Auto...
F0-Consistent Many-to-many Non-parallel Voice Conversion via Conditional Auto...Fujimoto Keisuke
 
YOLACT real-time instance segmentation
YOLACT real-time instance segmentationYOLACT real-time instance segmentation
YOLACT real-time instance segmentationFujimoto Keisuke
 
Product Managerの役割、周辺ロールとの差異
Product Managerの役割、周辺ロールとの差異Product Managerの役割、周辺ロールとの差異
Product Managerの役割、周辺ロールとの差異Fujimoto Keisuke
 
ChainerRLで株売買を結構頑張ってみた(後編)
ChainerRLで株売買を結構頑張ってみた(後編)ChainerRLで株売買を結構頑張ってみた(後編)
ChainerRLで株売買を結構頑張ってみた(後編)Fujimoto Keisuke
 
Temporal Cycle Consistency Learning
Temporal Cycle Consistency LearningTemporal Cycle Consistency Learning
Temporal Cycle Consistency LearningFujimoto Keisuke
 
20190414 Point Cloud Reconstruction Survey
20190414 Point Cloud Reconstruction Survey20190414 Point Cloud Reconstruction Survey
20190414 Point Cloud Reconstruction SurveyFujimoto Keisuke
 
20180925 CV勉強会 SfM解説
20180925 CV勉強会 SfM解説20180925 CV勉強会 SfM解説
20180925 CV勉強会 SfM解説Fujimoto Keisuke
 
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Sliced Wasserstein Distance for Learning Gaussian Mixture ModelsSliced Wasserstein Distance for Learning Gaussian Mixture Models
Sliced Wasserstein Distance for Learning Gaussian Mixture ModelsFujimoto Keisuke
 
LiDAR-SLAM チュートリアル資料
LiDAR-SLAM チュートリアル資料LiDAR-SLAM チュートリアル資料
LiDAR-SLAM チュートリアル資料Fujimoto Keisuke
 
Cold-Start Reinforcement Learning with Softmax Policy Gradient
Cold-Start Reinforcement Learning with Softmax Policy GradientCold-Start Reinforcement Learning with Softmax Policy Gradient
Cold-Start Reinforcement Learning with Softmax Policy GradientFujimoto Keisuke
 
Representation learning by learning to count
Representation learning by learning to countRepresentation learning by learning to count
Representation learning by learning to countFujimoto Keisuke
 
Dynamic Routing Between Capsules
Dynamic Routing Between CapsulesDynamic Routing Between Capsules
Dynamic Routing Between CapsulesFujimoto Keisuke
 
Deep Learning Framework Comparison on CPU
Deep Learning Framework Comparison on CPUDeep Learning Framework Comparison on CPU
Deep Learning Framework Comparison on CPUFujimoto Keisuke
 
Global optimality in neural network training
Global optimality in neural network trainingGlobal optimality in neural network training
Global optimality in neural network trainingFujimoto Keisuke
 
CVIM最先端ガイド6 幾何学的推定のための最適化手法 3.5 - 3.8
CVIM最先端ガイド6 幾何学的推定のための最適化手法 3.5 - 3.8CVIM最先端ガイド6 幾何学的推定のための最適化手法 3.5 - 3.8
CVIM最先端ガイド6 幾何学的推定のための最適化手法 3.5 - 3.8Fujimoto Keisuke
 

Plus de Fujimoto Keisuke (20)

A quantum computational approach to correspondence problems on point sets
A quantum computational approach to correspondence problems on point setsA quantum computational approach to correspondence problems on point sets
A quantum computational approach to correspondence problems on point sets
 
F0-Consistent Many-to-many Non-parallel Voice Conversion via Conditional Auto...
F0-Consistent Many-to-many Non-parallel Voice Conversion via Conditional Auto...F0-Consistent Many-to-many Non-parallel Voice Conversion via Conditional Auto...
F0-Consistent Many-to-many Non-parallel Voice Conversion via Conditional Auto...
 
YOLACT real-time instance segmentation
YOLACT real-time instance segmentationYOLACT real-time instance segmentation
YOLACT real-time instance segmentation
 
Product Managerの役割、周辺ロールとの差異
Product Managerの役割、周辺ロールとの差異Product Managerの役割、周辺ロールとの差異
Product Managerの役割、周辺ロールとの差異
 
ChainerRLで株売買を結構頑張ってみた(後編)
ChainerRLで株売買を結構頑張ってみた(後編)ChainerRLで株売買を結構頑張ってみた(後編)
ChainerRLで株売買を結構頑張ってみた(後編)
 
Temporal Cycle Consistency Learning
Temporal Cycle Consistency LearningTemporal Cycle Consistency Learning
Temporal Cycle Consistency Learning
 
ML@Loft
ML@LoftML@Loft
ML@Loft
 
20190414 Point Cloud Reconstruction Survey
20190414 Point Cloud Reconstruction Survey20190414 Point Cloud Reconstruction Survey
20190414 Point Cloud Reconstruction Survey
 
20180925 CV勉強会 SfM解説
20180925 CV勉強会 SfM解説20180925 CV勉強会 SfM解説
20180925 CV勉強会 SfM解説
 
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Sliced Wasserstein Distance for Learning Gaussian Mixture ModelsSliced Wasserstein Distance for Learning Gaussian Mixture Models
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
 
LiDAR-SLAM チュートリアル資料
LiDAR-SLAM チュートリアル資料LiDAR-SLAM チュートリアル資料
LiDAR-SLAM チュートリアル資料
 
Cold-Start Reinforcement Learning with Softmax Policy Gradient
Cold-Start Reinforcement Learning with Softmax Policy GradientCold-Start Reinforcement Learning with Softmax Policy Gradient
Cold-Start Reinforcement Learning with Softmax Policy Gradient
 
Representation learning by learning to count
Representation learning by learning to countRepresentation learning by learning to count
Representation learning by learning to count
 
Dynamic Routing Between Capsules
Dynamic Routing Between CapsulesDynamic Routing Between Capsules
Dynamic Routing Between Capsules
 
Deep Learning Framework Comparison on CPU
Deep Learning Framework Comparison on CPUDeep Learning Framework Comparison on CPU
Deep Learning Framework Comparison on CPU
 
ICCV2017一人読み会
ICCV2017一人読み会ICCV2017一人読み会
ICCV2017一人読み会
 
Global optimality in neural network training
Global optimality in neural network trainingGlobal optimality in neural network training
Global optimality in neural network training
 
CVPR2017 oral survey
CVPR2017 oral surveyCVPR2017 oral survey
CVPR2017 oral survey
 
Point net
Point netPoint net
Point net
 
CVIM最先端ガイド6 幾何学的推定のための最適化手法 3.5 - 3.8
CVIM最先端ガイド6 幾何学的推定のための最適化手法 3.5 - 3.8CVIM最先端ガイド6 幾何学的推定のための最適化手法 3.5 - 3.8
CVIM最先端ガイド6 幾何学的推定のための最適化手法 3.5 - 3.8