SlideShare une entreprise Scribd logo

Deep Learning Framework Comparison on CPU

•
•
Fujimoto Keisuke
Fujimoto Keisuke

色んなDeep Learning Frameworkを比較してみた。

Ingénierie
1  sur  32
Télécharger pour lire hors ligne
• •
• • • • • • • • • • • • • • • • • • • • • • • •
• • • • • • • • • •
• • • • • •
• • • • • • • • • •
Tensorflowが速いらしい Tensorflow遅い Caffe速いし、 Caffe2はより速い Chainerはpython だから遅い Pytorch 速い！ Mxnetよく 分からん Caffe遅 い・・・
• • • • •
• • • • • • •
• • • • • • • • • • • •
• • • • • • •
• • • • • • •
• • • • • • •
• • • • • • •
• • • • • •
• • • • • • •
• • • • • •
• • • • • • • •
• •
•
•
•
• ※tf-mklのみr1.0、それ以外はr1.3
• ※tf-mklのみr1.0、それ以外はr1.3
• • • •

Recommandé

Curriculum Learning （関東CV勉強会）
Curriculum Learning （関東CV勉強会）Curriculum Learning （関東CV勉強会）
Curriculum Learning （関東CV勉強会）Yoshitaka Ushiku
 
Deep Learning による視覚×言語融合の最前線
Deep Learning による視覚×言語融合の最前線Deep Learning による視覚×言語融合の最前線
Deep Learning による視覚×言語融合の最前線Yoshitaka Ushiku
 
交渉力について
交渉力について交渉力について
交渉力についてnishio
 
画像キャプションの自動生成
画像キャプションの自動生成画像キャプションの自動生成
画像キャプションの自動生成Yoshitaka Ushiku
 
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
 

Recommandé

Curriculum Learning （関東CV勉強会）
Curriculum Learning （関東CV勉強会）Curriculum Learning （関東CV勉強会）
Curriculum Learning （関東CV勉強会）Yoshitaka Ushiku
 
Deep Learning による視覚×言語融合の最前線
Deep Learning による視覚×言語融合の最前線Deep Learning による視覚×言語融合の最前線
Deep Learning による視覚×言語融合の最前線Yoshitaka Ushiku
 
交渉力について
交渉力について交渉力について
交渉力についてnishio
 
画像キャプションの自動生成
画像キャプションの自動生成画像キャプションの自動生成
画像キャプションの自動生成Yoshitaka Ushiku
 
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
 
ML@Loft
ML@LoftML@Loft
ML@LoftFujimoto Keisuke
 
20190414 Point Cloud Reconstruction Survey
20190414 Point Cloud Reconstruction Survey20190414 Point Cloud Reconstruction Survey
20190414 Point Cloud Reconstruction SurveyFujimoto Keisuke
 
Chainer meetup 9
Chainer meetup 9Chainer meetup 9
Chainer meetup 9Fujimoto 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
 
Stock trading using ChainerRL
Stock trading using ChainerRLStock trading using ChainerRL
Stock trading using ChainerRLFujimoto 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
 
ICCV2017一人読み会
ICCV2017一人読み会ICCV2017一人読み会
ICCV2017一人読み会Fujimoto 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
 
CVPR2017 oral survey
CVPR2017 oral surveyCVPR2017 oral survey
CVPR2017 oral surveyFujimoto Keisuke
 
Point net
Point netPoint net
Point netFujimoto 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
 
Value iteration networks
Value iteration networksValue iteration networks
Value iteration networksFujimoto Keisuke
 
sublabel accurate convex relaxation of vectorial multilabel energies
sublabel accurate convex relaxation of vectorial multilabel energiessublabel accurate convex relaxation of vectorial multilabel energies
sublabel accurate convex relaxation of vectorial multilabel energiesFujimoto Keisuke
 
Deep SimNets
Deep SimNetsDeep SimNets
Deep SimNetsFujimoto Keisuke
 

Contenu connexe

Plus de 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
 
Stock trading using ChainerRL
Stock trading using ChainerRLStock trading using ChainerRL
Stock trading using ChainerRLFujimoto 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
 
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
 
sublabel accurate convex relaxation of vectorial multilabel energies
sublabel accurate convex relaxation of vectorial multilabel energiessublabel accurate convex relaxation of vectorial multilabel energies
sublabel accurate convex relaxation of vectorial multilabel energiesFujimoto Keisuke
 

Plus de Fujimoto Keisuke (20)

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
 
Chainer meetup 9
Chainer meetup 9Chainer meetup 9
Chainer meetup 9
 
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
 
Stock trading using ChainerRL
Stock trading using ChainerRLStock trading using ChainerRL
Stock trading using ChainerRL
 
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
 
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
 
Value iteration networks
Value iteration networksValue iteration networks
Value iteration networks
 
sublabel accurate convex relaxation of vectorial multilabel energies
sublabel accurate convex relaxation of vectorial multilabel energiessublabel accurate convex relaxation of vectorial multilabel energies
sublabel accurate convex relaxation of vectorial multilabel energies
 
Deep SimNets
Deep SimNetsDeep SimNets
Deep SimNets
 

Deep Learning Framework Comparison on CPU