ºÝºÝߣshows by User: ssuser75e5ed / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ssuser75e5ed / Wed, 01 Aug 2018 05:47:10 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ssuser75e5ed Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning /slideshow/deep-learning-for-realtime-atari-game-play-using-offline-montecarlo-tree-search-planning/108197524 deeplearningforreal-timeatarigameplayusingofflinemonte-carlotreesearchplanning-180801054710
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning - Author: Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang - Origin: https://papers.nips.cc/paper/5421-deep-learning-for-real-time-atari-game-play-using-offline-monte-carlo-tree-search-planning - Related: https://github.com/number9473/nn-algorithm/issues/251]]>
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning - Author: Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang - Origin: https://papers.nips.cc/paper/5421-deep-learning-for-real-time-atari-game-play-using-offline-monte-carlo-tree-search-planning - Related: https://github.com/number9473/nn-algorithm/issues/251]]> Wed, 01 Aug 2018 05:47:10 GMT /slideshow/deep-learning-for-realtime-atari-game-play-using-offline-montecarlo-tree-search-planning/108197524 ssuser75e5ed@slideshare.net(ssuser75e5ed) Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning ssuser75e5ed Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning - Author: Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang - Origin: https://papers.nips.cc/paper/5421-deep-learning-for-real-time-atari-game-play-using-offline-monte-carlo-tree-search-planning - Related: https://github.com/number9473/nn-algorithm/issues/251 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deeplearningforreal-timeatarigameplayusingofflinemonte-carlotreesearchplanning-180801054710-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning - Author: Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang - Origin: https://papers.nips.cc/paper/5421-deep-learning-for-real-time-atari-game-play-using-offline-monte-carlo-tree-search-planning - Related: https://github.com/number9473/nn-algorithm/issues/251
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning from Óô„P üS
]]> 242 3 https://cdn.slidesharecdn.com/ss_thumbnails/deeplearningforreal-timeatarigameplayusingofflinemonte-carlotreesearchplanning-180801054710-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 Human-level control through deep reinforcement learning /ssuser75e5ed/humanlevel-control-through-deep-reinforcement-learning human-levelcontrolthroughdeepreinforcementlearning-180801053444
Human-level control through deep reinforcement learning - Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg & Demis Hassabis - Origin: https://www.nature.com/articles/nature14236 - https://github.com/number9473/nn-algorithm/issues/252]]>
Human-level control through deep reinforcement learning - Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg & Demis Hassabis - Origin: https://www.nature.com/articles/nature14236 - https://github.com/number9473/nn-algorithm/issues/252]]> Wed, 01 Aug 2018 05:34:44 GMT /ssuser75e5ed/humanlevel-control-through-deep-reinforcement-learning ssuser75e5ed@slideshare.net(ssuser75e5ed) Human-level control through deep reinforcement learning ssuser75e5ed Human-level control through deep reinforcement learning - Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg & Demis Hassabis - Origin: https://www.nature.com/articles/nature14236 - https://github.com/number9473/nn-algorithm/issues/252 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/human-levelcontrolthroughdeepreinforcementlearning-180801053444-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Human-level control through deep reinforcement learning - Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg &amp; Demis Hassabis - Origin: https://www.nature.com/articles/nature14236 - https://github.com/number9473/nn-algorithm/issues/252
Human-level control through deep reinforcement learning from Óô„P üS
]]> 114 3 https://cdn.slidesharecdn.com/ss_thumbnails/human-levelcontrolthroughdeepreinforcementlearning-180801053444-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 Ring loss: Convex Feature Normalization for Face Recognition /slideshow/ring-loss-convex-feature-normalization-for-face-recognition/108192656 ringlossconvexfeaturenormalizationforfacerecognition-180801045750
Ring loss: Convex Feature Normalization for Face Recognition Author: Yutong Zheng, Dipan K. Pal, Marios Savvides Origin: https://arxiv.org/abs/1803.00130 ]]>
Ring loss: Convex Feature Normalization for Face Recognition Author: Yutong Zheng, Dipan K. Pal, Marios Savvides Origin: https://arxiv.org/abs/1803.00130 ]]> Wed, 01 Aug 2018 04:57:50 GMT /slideshow/ring-loss-convex-feature-normalization-for-face-recognition/108192656 ssuser75e5ed@slideshare.net(ssuser75e5ed) Ring loss: Convex Feature Normalization for Face Recognition ssuser75e5ed Ring loss: Convex Feature Normalization for Face Recognition Author: Yutong Zheng, Dipan K. Pal, Marios Savvides Origin: https://arxiv.org/abs/1803.00130 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ringlossconvexfeaturenormalizationforfacerecognition-180801045750-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Ring loss: Convex Feature Normalization for Face Recognition Author: Yutong Zheng, Dipan K. Pal, Marios Savvides Origin: https://arxiv.org/abs/1803.00130
Ring loss: Convex Feature Normalization for Face Recognition from Óô„P üS
]]> 262 3 https://cdn.slidesharecdn.com/ss_thumbnails/ringlossconvexfeaturenormalizationforfacerecognition-180801045750-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 Practical Block-wise Neural Network Architecture Generation /slideshow/practical-blockwise-neural-network-architecture-generation/107114326 practicalblock-wiseneuralnetworkarchitecturegeneration-180723125259
Author: Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu Origin: https://arxiv.org/abs/1708.05552 Related: https://github.com/number9473/nn-algorithm/issues/262 > BlockQNN]]>
Author: Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu Origin: https://arxiv.org/abs/1708.05552 Related: https://github.com/number9473/nn-algorithm/issues/262 > BlockQNN]]> Mon, 23 Jul 2018 12:52:59 GMT /slideshow/practical-blockwise-neural-network-architecture-generation/107114326 ssuser75e5ed@slideshare.net(ssuser75e5ed) Practical Block-wise Neural Network Architecture Generation ssuser75e5ed Author: Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu Origin: https://arxiv.org/abs/1708.05552 Related: https://github.com/number9473/nn-algorithm/issues/262 > BlockQNN <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/practicalblock-wiseneuralnetworkarchitecturegeneration-180723125259-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Author: Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu Origin: https://arxiv.org/abs/1708.05552 Related: https://github.com/number9473/nn-algorithm/issues/262 &gt; BlockQNN
Practical Block-wise Neural Network Architecture Generation from Óô„P üS
]]> 66 3 https://cdn.slidesharecdn.com/ss_thumbnails/practicalblock-wiseneuralnetworkarchitecturegeneration-180723125259-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 Playing Atari with Deep Reinforcement Learning /slideshow/playing-atari-with-deep-reinforcement-learning-99366224/99366224 playingatariwithdeepreinforcementlearning-180529114533
Playing Atari with Deep Reinforcement Learning - Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller - Origin: https://arxiv.org/abs/1312.5602 - Related: https://github.com/number9473/nn-algorithm/issues/250]]>
Playing Atari with Deep Reinforcement Learning - Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller - Origin: https://arxiv.org/abs/1312.5602 - Related: https://github.com/number9473/nn-algorithm/issues/250]]> Tue, 29 May 2018 11:45:33 GMT /slideshow/playing-atari-with-deep-reinforcement-learning-99366224/99366224 ssuser75e5ed@slideshare.net(ssuser75e5ed) Playing Atari with Deep Reinforcement Learning ssuser75e5ed Playing Atari with Deep Reinforcement Learning - Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller - Origin: https://arxiv.org/abs/1312.5602 - Related: https://github.com/number9473/nn-algorithm/issues/250 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/playingatariwithdeepreinforcementlearning-180529114533-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Playing Atari with Deep Reinforcement Learning - Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller - Origin: https://arxiv.org/abs/1312.5602 - Related: https://github.com/number9473/nn-algorithm/issues/250
Playing Atari with Deep Reinforcement Learning from Óô„P üS
]]> 204 3 https://cdn.slidesharecdn.com/ss_thumbnails/playingatariwithdeepreinforcementlearning-180529114533-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 Revisit of Feature Learning on CNN-based Face Recognition /ssuser75e5ed/a-revisit-of-feature-learning-on-cnnbased-face-recognition arevisitoffeaturelearningoncnn-basedfacerecognitionstripped-180509021230
A Revisit of Feature Learning on CNN-based Face Recognition. Y. Sun, X. Wang, and X. Tang. Deep learning face representation from predicting 10,000 classes. In CVPR , 2014. K. He, X. Zhang, S. Ren, J. Sun. Deep Residual Learning for Image Recognition. Y. Sun, X. Wang, X. Tang. Deep Learning Face Representation by Joint Identification-Verification. F. Schroff, D. Kalenichenko, J. Philbin. FaceNet: A Unified Embedding for Face Recognition and Clustering. Y. Wen, K. Zhang, Z. Li, Y. Qiao. A Discriminative Feature Learning Approachg. W. Liu, Y. Wen, Z. Yu, M. Yang. Large-Margin Softmax Loss for Convolutional Neural Networks. W. Liu, Y. Wen, Z. Yu, M. Li, B. Raj, L. Song. SphereFace: Deep Hypersphere Embedding for Face Recognition.]]>
A Revisit of Feature Learning on CNN-based Face Recognition. Y. Sun, X. Wang, and X. Tang. Deep learning face representation from predicting 10,000 classes. In CVPR , 2014. K. He, X. Zhang, S. Ren, J. Sun. Deep Residual Learning for Image Recognition. Y. Sun, X. Wang, X. Tang. Deep Learning Face Representation by Joint Identification-Verification. F. Schroff, D. Kalenichenko, J. Philbin. FaceNet: A Unified Embedding for Face Recognition and Clustering. Y. Wen, K. Zhang, Z. Li, Y. Qiao. A Discriminative Feature Learning Approachg. W. Liu, Y. Wen, Z. Yu, M. Yang. Large-Margin Softmax Loss for Convolutional Neural Networks. W. Liu, Y. Wen, Z. Yu, M. Li, B. Raj, L. Song. SphereFace: Deep Hypersphere Embedding for Face Recognition.]]> Wed, 09 May 2018 02:12:30 GMT /ssuser75e5ed/a-revisit-of-feature-learning-on-cnnbased-face-recognition ssuser75e5ed@slideshare.net(ssuser75e5ed) A Revisit of Feature Learning on CNN-based Face Recognition ssuser75e5ed A Revisit of Feature Learning on CNN-based Face Recognition. Y. Sun, X. Wang, and X. Tang. Deep learning face representation from predicting 10,000 classes. In CVPR , 2014. K. He, X. Zhang, S. Ren, J. Sun. Deep Residual Learning for Image Recognition. Y. Sun, X. Wang, X. Tang. Deep Learning Face Representation by Joint Identification-Verification. F. Schroff, D. Kalenichenko, J. Philbin. FaceNet: A Unified Embedding for Face Recognition and Clustering. Y. Wen, K. Zhang, Z. Li, Y. Qiao. A Discriminative Feature Learning Approachg. W. Liu, Y. Wen, Z. Yu, M. Yang. Large-Margin Softmax Loss for Convolutional Neural Networks. W. Liu, Y. Wen, Z. Yu, M. Li, B. Raj, L. Song. SphereFace: Deep Hypersphere Embedding for Face Recognition. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/arevisitoffeaturelearningoncnn-basedfacerecognitionstripped-180509021230-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A Revisit of Feature Learning on CNN-based Face Recognition. Y. Sun, X. Wang, and X. Tang. Deep learning face representation from predicting 10,000 classes. In CVPR , 2014. K. He, X. Zhang, S. Ren, J. Sun. Deep Residual Learning for Image Recognition. Y. Sun, X. Wang, X. Tang. Deep Learning Face Representation by Joint Identification-Verification. F. Schroff, D. Kalenichenko, J. Philbin. FaceNet: A Unified Embedding for Face Recognition and Clustering. Y. Wen, K. Zhang, Z. Li, Y. Qiao. A Discriminative Feature Learning Approachg. W. Liu, Y. Wen, Z. Yu, M. Yang. Large-Margin Softmax Loss for Convolutional Neural Networks. W. Liu, Y. Wen, Z. Yu, M. Li, B. Raj, L. Song. SphereFace: Deep Hypersphere Embedding for Face Recognition.
A Revisit of Feature Learning on CNN-based Face Recognition from Óô„P üS
]]> 388 5 https://cdn.slidesharecdn.com/ss_thumbnails/arevisitoffeaturelearningoncnn-basedfacerecognitionstripped-180509021230-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 Rose x Girl x White sheet /slideshow/rose-x-girl-x-white-sheet/53159773 rosexgirlxwhitesheet-150924154425-lva1-app6892
3DëŠÄX„Ó®‹Åcß[‘ò¼¼ÐgÕn³Ì£¬´óÈýÆÚÄ©Œ£î} „Ó®‹Ö÷î}£ºÈáÜ› link: http://joyhuang9473.github.io/project-general/2014/06/02/project-animation-soft.html]]>
3DëŠÄX„Ó®‹Åcß[‘ò¼¼ÐgÕn³Ì£¬´óÈýÆÚÄ©Œ£î} „Ó®‹Ö÷î}£ºÈáÜ› link: http://joyhuang9473.github.io/project-general/2014/06/02/project-animation-soft.html]]> Thu, 24 Sep 2015 15:44:25 GMT /slideshow/rose-x-girl-x-white-sheet/53159773 ssuser75e5ed@slideshare.net(ssuser75e5ed) Rose x Girl x White sheet ssuser75e5ed 3DëŠÄX„Ó®‹Åcß[‘ò¼¼ÐgÕn³Ì£¬´óÈýÆÚÄ©Œ£î} „Ó®‹Ö÷î}£ºÈáÜ› link: http://joyhuang9473.github.io/project-general/2014/06/02/project-animation-soft.html <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rosexgirlxwhitesheet-150924154425-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 3DëŠÄX„Ó®‹Åcß[‘ò¼¼ÐgÕn³Ì£¬´óÈýÆÚÄ©Œ£î} „Ó®‹Ö÷î}£ºÈáÜ› link: http://joyhuang9473.github.io/project-general/2014/06/02/project-animation-soft.html
Rose x Girl x White sheet from Óô„P üS
]]> 459 5 https://cdn.slidesharecdn.com/ss_thumbnails/rosexgirlxwhitesheet-150924154425-lva1-app6892-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 Akatsuki Hackathon 2015 Demo /slideshow/akatsuki-hackathon-2015-demo-52570151/52570151 akatsuki-hackthon-demo-150909062559-lva1-app6892
Topic: design a puzzle game on smart phone Akatsuki Hackthon 2015 ÐĵÃ: http://joyhuang9473.github.io/2015/09/07/akatsuki-hackathon-2015.html Our Work - Ginger & GingerMan: http://joyhuang9473.github.io/project-general/project-game/2015/09/05/project-ginger-and-gingerman.html]]>
Topic: design a puzzle game on smart phone Akatsuki Hackthon 2015 ÐĵÃ: http://joyhuang9473.github.io/2015/09/07/akatsuki-hackathon-2015.html Our Work - Ginger & GingerMan: http://joyhuang9473.github.io/project-general/project-game/2015/09/05/project-ginger-and-gingerman.html]]> Wed, 09 Sep 2015 06:25:59 GMT /slideshow/akatsuki-hackathon-2015-demo-52570151/52570151 ssuser75e5ed@slideshare.net(ssuser75e5ed) Akatsuki Hackathon 2015 Demo ssuser75e5ed Topic: design a puzzle game on smart phone Akatsuki Hackthon 2015 ÐĵÃ: http://joyhuang9473.github.io/2015/09/07/akatsuki-hackathon-2015.html Our Work - Ginger & GingerMan: http://joyhuang9473.github.io/project-general/project-game/2015/09/05/project-ginger-and-gingerman.html <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/akatsuki-hackthon-demo-150909062559-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Topic: design a puzzle game on smart phone Akatsuki Hackthon 2015 ÐĵÃ: http://joyhuang9473.github.io/2015/09/07/akatsuki-hackathon-2015.html Our Work - Ginger &amp; GingerMan: http://joyhuang9473.github.io/project-general/project-game/2015/09/05/project-ginger-and-gingerman.html
Akatsuki Hackathon 2015 Demo from Óô„P üS
]]> 822 7 https://cdn.slidesharecdn.com/ss_thumbnails/akatsuki-hackthon-demo-150909062559-lva1-app6892-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 Introduction to FreeBSD commands /slideshow/introduction-to-free-bsd-commands/27415604 introductiontofreebsdcommands-131021103325-phpapp01
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]]> Mon, 21 Oct 2013 10:33:24 GMT /slideshow/introduction-to-free-bsd-commands/27415604 ssuser75e5ed@slideshare.net(ssuser75e5ed) Introduction to FreeBSD commands ssuser75e5ed <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introductiontofreebsdcommands-131021103325-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Introduction to FreeBSD commands from Óô„P üS
]]> 663 4 https://cdn.slidesharecdn.com/ss_thumbnails/introductiontofreebsdcommands-131021103325-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to FreeBSD commands(beta) /slideshow/introduction-to-unix-commands/27355965 introductiontounixcommands-131019042119-phpapp02
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]]> Sat, 19 Oct 2013 04:21:19 GMT /slideshow/introduction-to-unix-commands/27355965 ssuser75e5ed@slideshare.net(ssuser75e5ed) Introduction to FreeBSD commands(beta) ssuser75e5ed <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introductiontounixcommands-131019042119-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Introduction to FreeBSD commands(beta) from Óô„P üS
]]> 563 2 https://cdn.slidesharecdn.com/ss_thumbnails/introductiontounixcommands-131019042119-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 µç¾º´óÈü˵Ã÷»á±è±è³Ù /slideshow/ppt-15047882/15047882 pptfb-121106062546-phpapp02
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]]> Tue, 06 Nov 2012 06:25:43 GMT /slideshow/ppt-15047882/15047882 ssuser75e5ed@slideshare.net(ssuser75e5ed) µç¾º´óÈü˵Ã÷»á±è±è³Ù ssuser75e5ed <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pptfb-121106062546-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
µç¾º´óÈü˵Ã÷»á±è±è³Ù from Óô„P üS
]]> 1219 2 https://cdn.slidesharecdn.com/ss_thumbnails/pptfb-121106062546-phpapp02-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-ssuser75e5ed-48x48.jpg?cb=1560869960 https://cdn.slidesharecdn.com/ss_thumbnails/deeplearningforreal-timeatarigameplayusingofflinemonte-carlotreesearchplanning-180801054710-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/deep-learning-for-realtime-atari-game-play-using-offline-montecarlo-tree-search-planning/108197524 Deep Learning for Real... https://cdn.slidesharecdn.com/ss_thumbnails/human-levelcontrolthroughdeepreinforcementlearning-180801053444-thumbnail.jpg?width=320&height=320&fit=bounds ssuser75e5ed/humanlevel-control-through-deep-reinforcement-learning Human-level control th... https://cdn.slidesharecdn.com/ss_thumbnails/ringlossconvexfeaturenormalizationforfacerecognition-180801045750-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ring-loss-convex-feature-normalization-for-face-recognition/108192656 Ring loss: Convex Feat...