狠狠撸shows by User: KazukiFujikawa

狠狠撸shows by User: KazukiFujikawa / http://www.slideshare.net/images/logo.gif 狠狠撸shows by User: KazukiFujikawa / Wed, 16 Jun 2021 10:58:01 GMT 狠狠撸Share feed for 狠狠撸shows by User: KazukiFujikawa Stanford Covid Vaccine 2nd place solution /slideshow/stanford-covid-vaccine-2nd-place-solution/249382458 stanfordcovidvaccine-210616105802
Stanford Covid Vaccine 2nd place solution]]>
Stanford Covid Vaccine 2nd place solution]]> Wed, 16 Jun 2021 10:58:01 GMT /slideshow/stanford-covid-vaccine-2nd-place-solution/249382458 KazukiFujikawa@slideshare.net(KazukiFujikawa) Stanford Covid Vaccine 2nd place solution KazukiFujikawa Stanford Covid Vaccine 2nd place solution <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/stanfordcovidvaccine-210616105802-thumbnail.jpg?width=120&height=120&fit=bounds" /> Stanford Covid Vaccine 2nd place solution

Stanford Covid Vaccine 2nd place solution from Kazuki Fujikawa

]]> 301 0 https://cdn.slidesharecdn.com/ss_thumbnails/stanfordcovidvaccine-210616105802-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 BMS Molecular Translation 3rd place solution /slideshow/bms-molecular-translation-3rd-place-solution-249382417/249382417 bmsmoleculartranslation-210616105214
BMS Molecular Translation 3rd place solution]]>
BMS Molecular Translation 3rd place solution]]> Wed, 16 Jun 2021 10:52:14 GMT /slideshow/bms-molecular-translation-3rd-place-solution-249382417/249382417 KazukiFujikawa@slideshare.net(KazukiFujikawa) BMS Molecular Translation 3rd place solution KazukiFujikawa BMS Molecular Translation 3rd place solution <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bmsmoleculartranslation-210616105214-thumbnail.jpg?width=120&height=120&fit=bounds" /> BMS Molecular Translation 3rd place solution

BMS Molecular Translation 3rd place solution from Kazuki Fujikawa

]]> 449 0 https://cdn.slidesharecdn.com/ss_thumbnails/bmsmoleculartranslation-210616105214-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 ACL2020 best papers /slideshow/acl2020-best-papers-237860074/237860074 acl2020bestpapers-200814061151
ACL2020のBest paper (+honorable mention) に選ばれた論文の紹介です。]]>
ACL2020のBest paper (+honorable mention) に選ばれた論文の紹介です。]]> Fri, 14 Aug 2020 06:11:51 GMT /slideshow/acl2020-best-papers-237860074/237860074 KazukiFujikawa@slideshare.net(KazukiFujikawa) ACL2020 best papers KazukiFujikawa ACL2020のBest paper (+honorable mention) に選ばれた論文の紹介です。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acl2020bestpapers-200814061151-thumbnail.jpg?width=120&height=120&fit=bounds" /> ACL2020のBest paper (+honorable mention) に選ばれた論文の紹介です。

ACL2020 best papers from Kazuki Fujikawa

]]> 3244 0 https://cdn.slidesharecdn.com/ss_thumbnails/acl2020bestpapers-200814061151-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Kaggle参加報告: Champs Predicting Molecular Properties /slideshow/kaggle-champs-predicting-molecular-properties/205319550 champspredictingmolecularproperties-191213094033
Kaggleコンペティション「Predicting Molecular Properties」で13位になった時の解法の紹介と、上位ソリューションの紹介です。]]>
Kaggleコンペティション「Predicting Molecular Properties」で13位になった時の解法の紹介と、上位ソリューションの紹介です。]]> Fri, 13 Dec 2019 09:40:33 GMT /slideshow/kaggle-champs-predicting-molecular-properties/205319550 KazukiFujikawa@slideshare.net(KazukiFujikawa) Kaggle参加報告: Champs Predicting Molecular Properties KazukiFujikawa Kaggleコンペティション「Predicting Molecular Properties」で13位になった時の解法の紹介と、上位ソリューションの紹介です。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/champspredictingmolecularproperties-191213094033-thumbnail.jpg?width=120&height=120&fit=bounds" /> Kaggleコンペティション「Predicting Molecular Properties」で13位になった時の解法の紹介と、上位ソリューションの紹介です。

Kaggle参加報告: Champs Predicting Molecular Properties from Kazuki Fujikawa

]]> 1341 6 https://cdn.slidesharecdn.com/ss_thumbnails/champspredictingmolecularproperties-191213094033-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 NLP@ICLR2019 /KazukiFujikawa/nlpiclr2019 iclr2019nlp-190721035752
ICLR/ICML2019読み会で紹介した、ICLR2019でのNLPに関するOral4件の論文紹介です。紹介論文: Shen, Yikang, et al. “Ordered neurons: Integrating tree structures into recurrent neural networks.” in Proc. of ICLR, 2019. Li, Xiang, et al. "Smoothing the Geometry of Probabilistic Box Embeddings." in Proc. of ICLR, 2019. Wu, Felix, et al. "Pay less attention with lightweight and dynamic convolutions." in Proc. of ICLR, 2019. Mao, Jiayuan, et al. "The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision." in Proc. of ICLR, 2019.]]>
ICLR/ICML2019読み会で紹介した、ICLR2019でのNLPに関するOral4件の論文紹介です。紹介論文: Shen, Yikang, et al. “Ordered neurons: Integrating tree structures into recurrent neural networks.” in Proc. of ICLR, 2019. Li, Xiang, et al. "Smoothing the Geometry of Probabilistic Box Embeddings." in Proc. of ICLR, 2019. Wu, Felix, et al. "Pay less attention with lightweight and dynamic convolutions." in Proc. of ICLR, 2019. Mao, Jiayuan, et al. "The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision." in Proc. of ICLR, 2019.]]> Sun, 21 Jul 2019 03:57:52 GMT /KazukiFujikawa/nlpiclr2019 KazukiFujikawa@slideshare.net(KazukiFujikawa) NLP@ICLR2019 KazukiFujikawa ICLR/ICML2019読み会で紹介した、ICLR2019でのNLPに関するOral4件の論文紹介です。紹介論文: Shen, Yikang, et al. “Ordered neurons: Integrating tree structures into recurrent neural networks.” in Proc. of ICLR, 2019. Li, Xiang, et al. "Smoothing the Geometry of Probabilistic Box Embeddings." in Proc. of ICLR, 2019. Wu, Felix, et al. "Pay less attention with lightweight and dynamic convolutions." in Proc. of ICLR, 2019. Mao, Jiayuan, et al. "The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision." in Proc. of ICLR, 2019. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iclr2019nlp-190721035752-thumbnail.jpg?width=120&height=120&fit=bounds" /> ICLR/ICML2019読み会で紹介した、ICLR2019でのNLPに関するOral4件の論文紹介です。紹介論文: Shen, Yikang, et al. “Ordered neurons: Integrating tree structures into recurrent neural networks.” in Proc. of ICLR, 2019. Li, Xiang, et al. "Smoothing the Geometry of Probabilistic Box Embeddings." in Proc. of ICLR, 2019. Wu, Felix, et al. "Pay less attention with lightweight and dynamic convolutions." in Proc. of ICLR, 2019. Mao, Jiayuan, et al. "The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision." in Proc. of ICLR, 2019.

NLP@ICLR2019 from Kazuki Fujikawa

]]> 4590 762 https://cdn.slidesharecdn.com/ss_thumbnails/iclr2019nlp-190721035752-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Kaggle参加報告: Quora Insincere Questions Classification /slideshow/kaggle-quora-insincere-questions-classification/152311888 quorainsincerequestionsclassificationpublic-190628024900
社内勉强会での発表资料です。闭闭>
社内勉强会での発表资料です。闭闭> Fri, 28 Jun 2019 02:49:00 GMT /slideshow/kaggle-quora-insincere-questions-classification/152311888 KazukiFujikawa@slideshare.net(KazukiFujikawa) Kaggle参加報告: Quora Insincere Questions Classification KazukiFujikawa 社内勉强会での発表资料です。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/quorainsincerequestionsclassificationpublic-190628024900-thumbnail.jpg?width=120&height=120&fit=bounds" /> 社内勉强会での発表资料です。

Kaggle参加報告: Quora Insincere Questions Classification from Kazuki Fujikawa

]]> 636 1 https://cdn.slidesharecdn.com/ss_thumbnails/quorainsincerequestionsclassificationpublic-190628024900-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Ordered neurons integrating tree structures into recurrent neural networks /slideshow/ordered-neurons-integrating-tree-structures-into-recurrent-neural-networks-148053633/148053633 orderedneuronsintegratingtreestructuresintorecurrentneuralnetworks-190529033529
以下論文の紹介資料です。 Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks ICLR2019（Best paper） Yikang Shen, hawn Tan, Alessandro Sordoni, Aaron Courville]]>
以下論文の紹介資料です。 Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks ICLR2019（Best paper） Yikang Shen, hawn Tan, Alessandro Sordoni, Aaron Courville]]> Wed, 29 May 2019 03:35:29 GMT /slideshow/ordered-neurons-integrating-tree-structures-into-recurrent-neural-networks-148053633/148053633 KazukiFujikawa@slideshare.net(KazukiFujikawa) Ordered neurons integrating tree structures into recurrent neural networks KazukiFujikawa 以下論文の紹介資料です。 Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks ICLR2019（Best paper） Yikang Shen, hawn Tan, Alessandro Sordoni, Aaron Courville <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/orderedneuronsintegratingtreestructuresintorecurrentneuralnetworks-190529033529-thumbnail.jpg?width=120&height=120&fit=bounds" /> 以下論文の紹介資料です。 Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks ICLR2019（Best paper） Yikang Shen, hawn Tan, Alessandro Sordoni, Aaron Courville

Ordered neurons integrating tree structures into recurrent neural networks from Kazuki Fujikawa

]]> 159 1 https://cdn.slidesharecdn.com/ss_thumbnails/orderedneuronsintegratingtreestructuresintorecurrentneuralnetworks-190529033529-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 A closer look at few shot classification /KazukiFujikawa/a-closer-look-at-few-shot-classification acloserlookatfew-shotclassification-190510034853
A closer look at few shot classification (ICLR2019) の論文紹介です。]]>
A closer look at few shot classification (ICLR2019) の論文紹介です。]]> Fri, 10 May 2019 03:48:53 GMT /KazukiFujikawa/a-closer-look-at-few-shot-classification KazukiFujikawa@slideshare.net(KazukiFujikawa) A closer look at few shot classification KazukiFujikawa A closer look at few shot classification (ICLR2019) の論文紹介です。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acloserlookatfew-shotclassification-190510034853-thumbnail.jpg?width=120&height=120&fit=bounds" /> A closer look at few shot classification (ICLR2019) の論文紹介です。

A closer look at few shot classification from Kazuki Fujikawa

]]> 237 2 https://cdn.slidesharecdn.com/ss_thumbnails/acloserlookatfew-shotclassification-190510034853-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Graph convolutional policy network for goal directed molecular graph generation /KazukiFujikawa/graph-convolutional-policy-network-for-goal-directed-molecular-graph-generation graphconvolutionalpolicynetworkforgoal-directedmoleculargraphgeneration-181106113502
Deep learning seminarにて発表した、Graph convolutional policy network for goal directed molecular graph generation（NIPS2018）の紹介資料です。]]>
Deep learning seminarにて発表した、Graph convolutional policy network for goal directed molecular graph generation（NIPS2018）の紹介資料です。]]> Tue, 06 Nov 2018 11:35:02 GMT /KazukiFujikawa/graph-convolutional-policy-network-for-goal-directed-molecular-graph-generation KazukiFujikawa@slideshare.net(KazukiFujikawa) Graph convolutional policy network for goal directed molecular graph generation KazukiFujikawa Deep learning seminarにて発表した、Graph convolutional policy network for goal directed molecular graph generation（NIPS2018）の紹介資料です。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/graphconvolutionalpolicynetworkforgoal-directedmoleculargraphgeneration-181106113502-thumbnail.jpg?width=120&height=120&fit=bounds" /> Deep learning seminarにて発表した、Graph convolutional policy network for goal directed molecular graph generation（NIPS2018）の紹介資料です。

Graph convolutional policy network for goal directed molecular graph generation from Kazuki Fujikawa

]]> 259 2 https://cdn.slidesharecdn.com/ss_thumbnails/graphconvolutionalpolicynetworkforgoal-directedmoleculargraphgeneration-181106113502-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Conditional neural processes /KazukiFujikawa/conditional-neural-processes conditionalneuralprocesses-180726141539
Deep Learning Seminarで紹介した下記論文についての資料です。 Conditional neural processes [Garnelo+, ICML 2018] Neural processes [Garnelo+, ICML2018 workshop]]]>
Deep Learning Seminarで紹介した下記論文についての資料です。 Conditional neural processes [Garnelo+, ICML 2018] Neural processes [Garnelo+, ICML2018 workshop]]]> Thu, 26 Jul 2018 14:15:39 GMT /KazukiFujikawa/conditional-neural-processes KazukiFujikawa@slideshare.net(KazukiFujikawa) Conditional neural processes KazukiFujikawa Deep Learning Seminarで紹介した下記論文についての資料です。 Conditional neural processes [Garnelo+, ICML 2018] Neural processes [Garnelo+, ICML2018 workshop] <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/conditionalneuralprocesses-180726141539-thumbnail.jpg?width=120&height=120&fit=bounds" /> Deep Learning Seminarで紹介した下記論文についての資料です。 Conditional neural processes [Garnelo+, ICML 2018] Neural processes [Garnelo+, ICML2018 workshop]

Conditional neural processes from Kazuki Fujikawa

]]> 680 75 https://cdn.slidesharecdn.com/ss_thumbnails/conditionalneuralprocesses-180726141539-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 NIPS2017 Few-shot Learning and Graph Convolution /slideshow/nips2017-fewshot-learning-and-graph-convolution/94750591 nips2017few-shotlearninggraphconvolution-180423123057
NIPS2017 での Few-shot Learning, Graph Convolutionに関する論文の紹介]]>
NIPS2017 での Few-shot Learning, Graph Convolutionに関する論文の紹介]]> Mon, 23 Apr 2018 12:30:56 GMT /slideshow/nips2017-fewshot-learning-and-graph-convolution/94750591 KazukiFujikawa@slideshare.net(KazukiFujikawa) NIPS2017 Few-shot Learning and Graph Convolution KazukiFujikawa NIPS2017 での Few-shot Learning, Graph Convolutionに関する論文の紹介 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nips2017few-shotlearninggraphconvolution-180423123057-thumbnail.jpg?width=120&height=120&fit=bounds" /> NIPS2017 での Few-shot Learning, Graph Convolutionに関する論文の紹介

NIPS2017 Few-shot Learning and Graph Convolution from Kazuki Fujikawa

]]> 1279 106 https://cdn.slidesharecdn.com/ss_thumbnails/nips2017few-shotlearninggraphconvolution-180423123057-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Matrix capsules with em routing /slideshow/matrix-capsules-with-em-routing/94749491 matrixcapsuleswithemrouting-180423120251
Deep Learning Seminar 2018/04/20 の発表資料です。 http://deeplearning.jp/seminar/]]>
Deep Learning Seminar 2018/04/20 の発表資料です。 http://deeplearning.jp/seminar/]]> Mon, 23 Apr 2018 12:02:50 GMT /slideshow/matrix-capsules-with-em-routing/94749491 KazukiFujikawa@slideshare.net(KazukiFujikawa) Matrix capsules with em routing KazukiFujikawa Deep Learning Seminar 2018/04/20 の発表資料です。 http://deeplearning.jp/seminar/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/matrixcapsuleswithemrouting-180423120251-thumbnail.jpg?width=120&height=120&fit=bounds" /> Deep Learning Seminar 2018/04/20 の発表資料です。 http://deeplearning.jp/seminar/

Matrix capsules with em routing from Kazuki Fujikawa

]]> 1315 1 https://cdn.slidesharecdn.com/ss_thumbnails/matrixcapsuleswithemrouting-180423120251-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Predicting organic reaction outcomes with weisfeiler lehman network /slideshow/predicting-organic-reaction-outcomes-with-weisfeiler-lehman-network-86469364/86469364 predictingorganicreactionoutcomeswithweisfeiler-lehmannetwork-180121081752
NIPS2017読み会 @ Preferred Networks での発表資料です。]]>
NIPS2017読み会 @ Preferred Networks での発表資料です。]]> Sun, 21 Jan 2018 08:17:51 GMT /slideshow/predicting-organic-reaction-outcomes-with-weisfeiler-lehman-network-86469364/86469364 KazukiFujikawa@slideshare.net(KazukiFujikawa) Predicting organic reaction outcomes with weisfeiler lehman network KazukiFujikawa NIPS2017読み会 @ Preferred Networks での発表資料です。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/predictingorganicreactionoutcomeswithweisfeiler-lehmannetwork-180121081752-thumbnail.jpg?width=120&height=120&fit=bounds" /> NIPS2017読み会 @ Preferred Networks での発表資料です。

Predicting organic reaction outcomes with weisfeiler lehman network from Kazuki Fujikawa

]]> 2978 7 https://cdn.slidesharecdn.com/ss_thumbnails/predictingorganicreactionoutcomeswithweisfeiler-lehmannetwork-180121081752-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 SchNet: A continuous-filter convolutional neural network for modeling quantum interactions /slideshow/schnet-a-continuousfilter-convolutional-neural-network-for-modeling-quantum-interactions/86377883 schnet-180119001206
- Deep Learning Seminar での発表資料です。(http://deeplearning.jp/en/seminar-2/) ]]>
- Deep Learning Seminar での発表資料です。(http://deeplearning.jp/en/seminar-2/) ]]> Fri, 19 Jan 2018 00:12:06 GMT /slideshow/schnet-a-continuousfilter-convolutional-neural-network-for-modeling-quantum-interactions/86377883 KazukiFujikawa@slideshare.net(KazukiFujikawa) SchNet: A continuous-filter convolutional neural network for modeling quantum interactions KazukiFujikawa - Deep Learning Seminar での発表資料です。(http://deeplearning.jp/en/seminar-2/) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/schnet-180119001206-thumbnail.jpg?width=120&height=120&fit=bounds" /> - Deep Learning Seminar での発表資料です。(http://deeplearning.jp/en/seminar-2/)

SchNet: A continuous-filter convolutional neural network for modeling quantum interactions from Kazuki Fujikawa

]]> 4027 7 https://cdn.slidesharecdn.com/ss_thumbnails/schnet-180119001206-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Matching networks for one shot learning /slideshow/matching-networks-for-one-shot-learning-71257100/71257100 matchingnetworksforoneshotlearning-170122080506
NIPS2016読み会@Preferred Networksにて、ポスター発表した際の資料です。]]>
NIPS2016読み会@Preferred Networksにて、ポスター発表した際の資料です。]]> Sun, 22 Jan 2017 08:05:06 GMT /slideshow/matching-networks-for-one-shot-learning-71257100/71257100 KazukiFujikawa@slideshare.net(KazukiFujikawa) Matching networks for one shot learning KazukiFujikawa NIPS2016読み会@Preferred Networksにて、ポスター発表した際の資料です。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/matchingnetworksforoneshotlearning-170122080506-thumbnail.jpg?width=120&height=120&fit=bounds" /> NIPS2016読み会@Preferred Networksにて、ポスター発表した際の資料です。

Matching networks for one shot learning from Kazuki Fujikawa

]]> 17959 15 https://cdn.slidesharecdn.com/ss_thumbnails/matchingnetworksforoneshotlearning-170122080506-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 顿别狈础における机械学习?深层学习活用 /slideshow/dena-techcon-for-student-2016-64836562/64836562 denatechconforstudent-160809135507
DeNA TechCon for Student 2016 でお話したスライドです。]]>
DeNA TechCon for Student 2016 でお話したスライドです。]]> Tue, 09 Aug 2016 13:55:07 GMT /slideshow/dena-techcon-for-student-2016-64836562/64836562 KazukiFujikawa@slideshare.net(KazukiFujikawa) 顿别狈础における机械学习?深层学习活用 KazukiFujikawa DeNA TechCon for Student 2016 でお話したスライドです。 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/denatechconforstudent-160809135507-thumbnail.jpg?width=120&height=120&fit=bounds" /> DeNA TechCon for Student 2016 でお話したスライドです。

顿别狈础における机械学习?深层学习活用 from Kazuki Fujikawa

]]> 21558 30 https://cdn.slidesharecdn.com/ss_thumbnails/denatechconforstudent-160809135507-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://cdn.slidesharecdn.com/profile-photo-KazukiFujikawa-48x48.jpg?cb=1720849883 http://www.fz-qqq.net https://cdn.slidesharecdn.com/ss_thumbnails/stanfordcovidvaccine-210616105802-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/stanford-covid-vaccine-2nd-place-solution/249382458 Stanford Covid Vaccine... https://cdn.slidesharecdn.com/ss_thumbnails/bmsmoleculartranslation-210616105214-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/bms-molecular-translation-3rd-place-solution-249382417/249382417 BMS Molecular Translat... https://cdn.slidesharecdn.com/ss_thumbnails/acl2020bestpapers-200814061151-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/acl2020-best-papers-237860074/237860074 ACL2020 best papers