[B! chainer] tokuryooã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

tokuryoo id:tokuryoo

chainerã«é–¢ã™ã‚‹tokuryooã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (90)

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PFNã®Chainerå¯¾å¿œã®æŽ¨è«–å‡¦ç†ãƒœãƒ¼ãƒ‰ã€PFUãŒç™ºå£²
PFUã¯ã€ç”£æ¥å‘ã‘ã‚¨ãƒƒã‚¸ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°äº‹æ¥ã®å¹…ã‚’åºƒã’ã‚‹ï¼ˆãƒ‹ãƒ¥ãƒ¼ã‚¹ãƒªãƒªãƒ¼ã‚¹ï¼‰ã€‚ãã®ç¬¬ï¼‘å¼¾ã¨ã—ã¦ã€æ·±å±¤å¦ç¿’ã®æŽ¨ç§»å‡¦ç†ã‚’å®Ÿè¡Œã™ã‚‹PCI Expressãƒœãƒ¼ãƒ‰ã€Œï¼œAI400ã‚·ãƒªãƒ¼ã‚ºï¼žDeep Learningã‚¢ã‚¯ã‚»ãƒ©ãƒ¬ãƒ¼ã‚¿ã‚«ãƒ¼ãƒ‰ã€ã‚’ç™ºå£²ã—ãŸã€‚ ã“ã‚Œã¾ã§åŒç¤¾ã®ã‚¨ãƒƒã‚¸ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°äº‹æ¥ã¯ã€ã‚³ãƒ³ãƒˆãƒãƒ¼ãƒ©ãƒ¼ï¼ˆç”£æ¥ç”¨PC/ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ãƒ¼ï¼‰ã®é–‹ç™ºãƒ»è²©å£²ã«é›†ä¸ã—ã¦ã„ãŸã€‚ä»Šå¾Œã¯ã‚³ãƒ³ãƒˆãƒãƒ¼ãƒ©ãƒ¼ã«åŠ ãˆã¦ã€ã‚½ãƒ•ãƒˆã‚¦ã‚¨ã‚¢ã‚„å‘¨è¾ºï¼ˆæ‹¡å¼µç”¨ï¼‰ãƒãƒ¼ãƒ‰ã‚¦ã‚¨ã‚¢ã®é–‹ç™ºãƒ»æä¾›ã‚‚ç©æ¥µçš„ã«è¡Œã„ã€ã‚·ã‚¹ãƒ†ãƒ å…¨ä½“ã«äº‹æ¥é ˜åŸŸã‚’åºƒã’ã‚‹ã€‚ãªãŠã€ã‚ªãƒ³ãƒ—ãƒ¬ãƒŸã‚¹ã®ã‚µãƒ¼ãƒãƒ¼ã‚„PCã¸ã¯ä»Šå›žã¯é€²å‡ºã—ãªã„ã¨ã„ã†ã€‚ã€Œãƒãƒ¼ãƒ‰ã‚¦ã‚¨ã‚¢ã¨ã—ã¦ã¯ã‚ªãƒ³ãƒ—ãƒ¬ãƒŸã‚¹ã®ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ãƒ¼ã‚‚ã€ã‚¨ãƒƒã‚¸ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ã®ã‚³ãƒ³ãƒˆãƒãƒ¼ãƒ©ãƒ¼ã‚‚ã»ã¼åŒã˜ã ãŒã€ã¾ãšã¯ã€ã‚¨ãƒƒã‚¸ãƒ»ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ãƒ»ã‚·ã‚¹ãƒ†ãƒ å…¨ä½“ã«äº‹æ¥ã‚’åºƒã’ã‚‹ã“ã¨ã«åŠ›ã‚’å…¥ã‚Œã‚‹ã€ï¼ˆåŒç¤¾ï¼‰ã€‚ ã‚¨ãƒƒã‚¸ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°äº‹æ¥ã®å¹…ã‚’åºƒã’ã‚‹ã€‚å¾“æ¥ã¯
tokuryoo 2018/01/16
gpu

news

chainer
ãƒªãƒ³ã‚¯
Chainerã®å¯è¦–åŒ–ãƒ»å®Ÿé¨“ç®¡ç†ã‚’æ”¯æ´ã™ã‚‹ChainerUIã‚’å…¬é–‹ | Preferred Research
Chainerä¸Šã®å®Ÿé¨“ä¸ã®å¦ç¿’ãƒã‚°ã®å¯è¦–åŒ–ã‚„å®Ÿé¨“ç®¡ç†æ©Ÿèƒ½ã‚’è¿½åŠ ã™ã‚‹ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã€ChainerUIã‚’å…¬é–‹ã—ã¾ã—ãŸã€‚ GitHub ChainerUIã¯ã€å¤šãã®Chainerãƒ¦ãƒ¼ã‚¶ãŒæŒã¤ã€Œå¦ç¿’ä¸ã®å®Ÿé¨“ã‚¸ãƒ§ãƒ–ã®é€²æ—ã‚’æ‰‹è»½ã«çŸ¥ã‚ŠãŸã„ã€ã€ã€Œè¤‡æ•°ã®å®Ÿé¨“ã‚¸ãƒ§ãƒ–ã®æ‰‹è»½ã«ç®¡ç†ã—ãŸã„ã€ãƒ‹ãƒ¼ã‚ºã«å¿œãˆã‚‹ãŸã‚ã«é–‹ç™ºã—ã¾ã—ãŸã€‚ å…·ä½“çš„ã«ã¯ã€ä¸‹è¨˜ã®æ©Ÿèƒ½ã‚’å‚™ãˆã¦ã„ã¾ã™ã€‚ å¦ç¿’ãƒã‚°ã®å¯è¦–åŒ– å®Ÿé¨“å±¥æ´é–²è¦§ å®Ÿè¡Œä¸ã®å®Ÿé¨“ã«å¯¾ã™ã‚‹æ“ä½œ (ã‚¹ãƒŠãƒƒãƒ—ã‚·ãƒ§ãƒƒãƒˆãƒ»å¦ç¿’ãƒã‚¤ãƒ‘ãƒ¼ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ãƒ¼ä¿®æ£) æœ¬ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã¯ã€Chainerã®å¦ç¿’ç”¨Trainerã‚’ç›£è¦–ã™ã‚‹Chainer extensionã¨ã—ã¦æ©Ÿèƒ½ã™ã‚‹ã‚‚ã®ã§ã™ã€‚ã“ã®Chainer extensionã‚’æœ‰åŠ¹åŒ–ã—ãŸå®Ÿé¨“ã‚’ã€Webãƒ–ãƒ©ã‚¦ã‚¶ã‹ã‚‰ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã§ç›£è¦–ã€åˆ¶å¾¡ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚è¤‡é›‘ãªä¾å˜é–¢ä¿‚ãŒãªã„ãŸã‚ã€Trainerã‚’ç”¨ã„ã‚‹æ—¢å˜ã®å®Ÿé¨“ã‚¹ã‚¯ãƒªãƒ—ãƒˆã«ç°¡å˜ã«å°Žå…¥ã§ãã¾ã™ã€‚ å¦ç¿’ãƒã‚°ã®å¯è¦–åŒ–
tokuryoo 2017/12/20
chainer
ãƒªãƒ³ã‚¯
We have released ChainerUI, a training visualizer and manager for Chainer - Preferred Networks Research & Development
We have released ChainerUI, a training visualizer and manager for Chainer We have released ChainerUI, to help visualize training results and manage training jobs. GitHub Among Chainer users, there are demands to watch the progress of training jobs or to compare jobs by plotting the training loss, accuracy, and other logs of multiple runs. These tasks tend to be intricate because there were no suit
tokuryoo 2017/12/20
chainer
ãƒªãƒ³ã‚¯
Chainer2.0ã§Deep Embedded Clustering - Qiita
ãƒ‡ãƒ¼ã‚¿ã®æ¬¡å…ƒåœ§ç¸®æ‰‹æ³•ã«ã¤ã„ã¦èª¿ã¹ã¦ã„ã‚‹æ™‚ã«ã€å¾Œè¼©ãŒæ¬¡å…ƒåœ§ç¸® + ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã‚’åŒæ™‚ã«å¦ç¿’ã™ã‚‹ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°ã®æ‰‹æ³•ã€ŒDeep Embedded Clusteringã€ã‚’èª¿ã¹ã¦æ•™ãˆã¦ãã‚ŒãŸã®ã§ã›ã£ã‹ãã ã‹ã‚‰Chainerã§å®Ÿè£…ã—ã¦ã¿ã‚ˆã†ã¨ã„ã†ã®ãŒã“ã®è¨˜äº‹ã§ã™ã€‚ å®Ÿè£…ã—ãŸã‚³ãƒ¼ãƒ‰ã¯Githubã§å…¬é–‹ã—ã¦ã„ã¾ã™ã€‚ https://github.com/ymym3412/DeepEmbeddedClustering Deep Embedded Clusteringã¨ã¯ Deep Embedded Clusteringã¯ã€ŒUnsupervised Deep Embedding for Clustering Analysisã€ã¨ã„ã†è«–æ–‡ã®ä¸ã§ææ¡ˆã•ã‚Œã¦ã„ã‚‹ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã®æ‰‹æ³•ã§ã™ã€‚ æ¬¡å…ƒåœ§ç¸®ã‚„ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°ã®æ‰‹æ³•ã¯ä»–ã«ã‚‚ä»¥ä¸‹ã®ã‚ˆã†ãªã‚‚ã®ãŒã‚ã‚Šã¾ã™ã€‚ k-meansã€æ··åˆã‚¬ã‚¦ã‚¹ãƒ¢ãƒ‡ãƒ«(GMM) é«˜é€Ÿã«
tokuryoo 2017/12/15
deep learning

chainer

clustering
ãƒªãƒ³ã‚¯
Deep RL Bootcamp - Labs
Prelab instructions: Set up your computer for all labs. Lab 1: Markov Decision Processes. You will implement value iteration, policy iteration, and tabular Q-learning and apply these algorithms to simple environments including tabular maze navigation (FrozenLake) and controlling a simple crawler robot. Lab 2: Introduction to Chainer. You will implement deep supervised learning using Chainer, and a
tokuryoo 2017/10/11
chainer

reinforcement learning

dqn
ãƒªãƒ³ã‚¯
Deep Learningãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯Chainerã¨æœ€è¿‘ã®æŠ€è¡“å‹•å‘
æ—¥æœ¬ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ç§‘å¦ä¼šç¬¬34å›žå¤§ä¼š 2017 ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ« #chainer #chainercv #chainerrl #deeplearning #ã‚»ã‚°ãƒ¡ãƒ³ãƒ†ãƒ¼ã‚·ãƒ§ãƒ³ #ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ #å¼·åŒ–å¦ç¿’ #æ·±å±¤å¦ç¿’ #ç‰©ä½“æ¤œå‡º #ç”»åƒèªè˜ #è‡ªç„¶è¨€èªžå‡¦ç†Read less
tokuryoo 2017/09/21
deep learning

slideshare

chainer
ãƒªãƒ³ã‚¯
Chainer v2.0.0 and our future development plans
Chainer v2.0.0 and our future development plans By Seiya Tokui Jun 1, 2017 In Announcement We have released Chainer v2.0.0 today! This is the first major update of Chainer. The detailed updates from the beta release can be found in the release notes. You can also find the differences between v1 and v2 in the Upgrade Guide. Note that the repository has been moved to chainer/chainer. Any access to t
tokuryoo 2017/06/02
chainer
ãƒªãƒ³ã‚¯
Chainerã®å¦ç¿’ã®æ§˜åã‚’ãƒªãƒ¢ãƒ¼ãƒˆã§ç¢ºèªã™ã‚‹Extensionã‚’ä½œã£ãŸ - ã®ã‚“ã³ã‚Šã—ã¦ã„ã‚‹ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®æ—¥è¨˜
çš†ã•ã‚“ã“ã‚“ã«ã¡ã¯ ãŠå…ƒæ°—ã§ã™ã‹ã€‚ç§ã¯GWã§ãƒªãƒ•ãƒ¬ãƒƒã‚·ãƒ¥ã—ã¦ã€ç”Ÿãè¿”ã‚Šã¾ã—ãŸã€‚ Kaggleã‚’ã‚„ã£ã¦ã„ã‚‹ã¨ãï¼ˆç‰¹ã«ç”»åƒãªã©ã®é•·ã„å ´åˆï¼‰ã«ãƒªãƒ¢ãƒ¼ãƒˆã§ ä»Šå¦ç¿’ã•ã‚Œã¦ã„ã‚‹ã‹ã©ã†ã‹ã€èª¤å·®ã¯ã©ã†ã‹ãªã©ã®ãƒ¢ãƒ‡ãƒ«ã® æ§˜åãŒæ°—ã«ãªã‚‹ã“ã¨ã¯ã‚ã‚Šã¾ã›ã‚“ã‹ï¼Ÿ ç§ã¯ç”»åƒèªè˜ç³»ã®ã‚³ãƒ³ãƒšã‚’å®Ÿéš›ã«è¡Œã£ã¦ã„ã‚‹æ™‚ã«ã€æ°—ã«ãªã‚‹ã“ã¨ãŒã‚ã‚Šã¾ã™ã€‚ ã“ã‚Œã©ã†ã—ã‚ˆã†ã‹ã¨è€ƒãˆã¦ã„ãŸã®ã§ã™ãŒã€æ©ã„ã¦ã„ã‚‹æ™‚ã«ãµã¨æ€ã„ã¤ã„ãŸã®ã§å®Ÿè£…ã—ã¾ã—ãŸã€‚ ã“ã®ã‚¢ã‚¤ãƒ‡ã‚¢ã®å®Ÿè£…ã®ãŸã‚ã«ã€æ–°ã—ã„Chainerã®Extensionã‚’é–‹ç™ºã—ã¾ã—ãŸã€‚ï¼ˆTrainerã‚’ä½¿ã†æƒ³å®šã§ã™ï¼‰ ã‚¢ã‚¤ãƒ‡ã‚¢ Slackã§ã‚ã‚Œã°å¤–å‡ºä¸ã‚‚è¦‹ã‚Œã‚‹ã¨è€ƒãˆã¾ã—ãŸã€‚ ãã®ãŸã‚ã€å¦ç¿’ã®é€”ä¸çµŒéŽï¼ˆlossãªã©ï¼‰ã‚’æŠ•ç¨¿ã™ã‚Œã°è¦‹ã‚Œã‚‹ï¼ å®Ÿè£…ã‚¤ãƒ¡ãƒ¼ã‚¸ã¯æ¬¡ã®å›³ã«æŽ²è¼‰ã—ã¾ã—ãŸã€‚ ã‚³ãƒ¼ãƒ‰ã‚’è¦‹ãŸé™ã‚Šã ã¨ã€Extensionã§å®Ÿè£…ã§ããã†ã ã£ãŸã®ã§ã€ãƒˆãƒ©ã‚¤ã—ã¾ã—ãŸã€‚ Extensionã®å®Ÿè£…æ–¹æ³• Extensio
tokuryoo 2017/05/10
chainer

kaggle
ãƒªãƒ³ã‚¯
GitHub - intel/chainer: IntelÂ® Optimization for Chainer*
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tokuryoo 2017/03/24
chainer

cpu
ãƒªãƒ³ã‚¯
Chainerã§ãƒžãƒ«ãƒã‚¿ã‚¹ã‚¯ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚’å®Ÿè£…ã—ãŸ - äººé–“ã ã£ãŸã‚‰è€ƒãˆã¦
æ³¨ï¼šã“ã®è¨˜äº‹ã®å®Ÿè£…ã¯éžåŠ¹çŽ‡çš„ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“ï¼Ž ã“ã®è¨˜äº‹ã¯ä½•ï¼Ÿ ãƒžãƒ«ãƒã‚¿ã‚¹ã‚¯å¦ç¿’ã‚’ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã«é©ç”¨ã—ãŸç ”ç©¶ãŒã„ãã¤ã‹å ±å‘Šã•ã‚Œã¦ã„ã¾ã™ï¼Ž é©ç”¨ä¾‹ã¨ã—ã¦ï¼ŒGeorgeã‚‰(2014)ã®ç ”ç©¶ã§ã¯ï¼Œã‚¿ãƒ³ãƒ‘ã‚¯è³ªã«å¯¾ã™ã‚‹åŒ–åˆç‰©ã®æ´»æ€§äºˆæ¸¬ã«ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚’ç”¨ã„ãŸãƒžãƒ«ãƒã‚¿ã‚¹ã‚¯å¦ç¿’ã‚’é©ç”¨ã—ã¦ã„ã¾ã™ï¼Ž ã¾ãŸï¼ŒXiaodongã‚‰(2015)ã®ç ”ç©¶ã§ã¯ï¼Œè‡ªç„¶è¨€èªžå‡¦ç†ã®ã‚¿ã‚¹ã‚¯ã¨ã—ã¦ã‚¯ã‚¨ãƒªåˆ†é¡žã¨æƒ…å ±æ¤œç´¢ã®2ã¤ã®ã‚¿ã‚¹ã‚¯ã‚’åŒæ™‚ã«è§£ããƒžãƒ«ãƒã‚¿ã‚¹ã‚¯å¦ç¿’ã‚’ææ¡ˆã—ã¦ã„ã¾ã™ï¼Ž ç§ã¯DNNã‚’å®Ÿè£…ã™ã‚‹æ™‚ã¯Chainerã‚’ä½¿ã£ã¦ã„ã‚‹ã®ã§ã™ãŒï¼ŒChainerã§ãƒžãƒ«ãƒã‚¿ã‚¹ã‚¯å¦ç¿’ã‚’å®Ÿè£…ã—ãŸä¾‹ãŒè¦‹å½“ãŸã‚‰ãªã‹ã£ãŸãŸã‚è‡ªåˆ†ã§å®Ÿè£…ã—ã¦ã¿ã¾ã—ãŸï¼Ž ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯æ§‹é€ è§£ãã‚¿ã‚¹ã‚¯ã¯2ã¤ã¨ã—ã¾ã™ï¼Ž2ã¤ã®ã‚¿ã‚¹ã‚¯ã«å¯¾å¿œã™ã‚‹ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ãŒå˜åœ¨ã—ï¼Œãã‚Œãžã‚Œã®ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯é–“ã§ä¸€éƒ¨ã®å±¤ã‚’å…±æœ‰ã™ã‚‹ã‚ˆã†ãªãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯æ§‹é€ ã‚’è€ƒãˆã¾ã™ï¼ˆä¸‹å›³å‚ç…§ï¼‰ï¼Ž å¦ç¿’ã®é€²ã‚æ–¹
tokuryoo 2017/03/07
deep learning

chainer
ãƒªãƒ³ã‚¯
GitHub - hvy/chainer-wasserstein-gan: Chainer implementation of the Wesserstein GAN
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tokuryoo 2017/02/16
gan

chainer
ãƒªãƒ³ã‚¯
åˆå¿ƒè€…ãŒchainerã§ç·šç”»ç€è‰²ã—ã¦ã¿ãŸã€‚ã‚ã‚Šã¨ã§ããŸã€‚
ï¾ƒï¾žï½°ï¾Œï¾Ÿï¾—ï½°ï¾†ï¾ï½¸ï¾žã¯ã‚³ãƒ¢ãƒ‡ã‚£ãƒ†ã‚£åŒ–ã—ã¦ã„ã¦ãƒãƒ³ãƒ€ä»˜ã‘ã®æ–¹ãŒä»˜åŠ ä¾¡å€¤é«˜ã„ã¨ã„ã‚ã‚Œã‚‹ï¾‹ï¾Ÿ-FNã§ä¸»ã«å·¥ä½œæ‹…å½“ã®tai2anã§ã™ã€‚ NHKã§å…¨å›½æ”¾é€ã•ã‚ŒãŸAmazon Picking Challengeã§ã‚¬ãƒ ãƒ†ã¹ã£ãŸã¹ãŸã®ãƒãƒ³ãƒ‰ã‚„ãƒãƒœã‚³ãƒ³æ„Ÿæº€è¼‰ã®æ»‘ã‚Šå°ã¨ã‹ã‚’å·¥ä½œã—ã¦ã¾ã—ãŸã€‚ ã¨ã¯ã„ãˆã€ã‚„ã£ã±ã‚Šã¡ã‚‡ã£ã¨ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°ã—ã¦ã¿ãŸã„ã®ã§1,2ã‹æœˆå‰ã‹ã‚‰chainerã‚’å‹‰å¼·ã—å§‹ã‚ã¾ã—ãŸã€‚ ã›ã£ã‹ããªã®ã§ç·šç”»ã®ç€è‰²ã‚’ã—ãŸã„ãªãƒ¼ã¨æ€ã£ã¦è‰²ã€…è©¦ã—ã¦ã¿ã¾ã—ãŸã€‚ ç·šç”»ã®ç€è‰²ã¯æ•™å¸«ã‚ã‚Šå¦ç¿’ãªã®ã§ç·šç”»ã¨ç€è‰²æ¸ˆã¿ã®ç”»åƒã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆãŒ(ã§ãã‚Œã°å¤§é‡ã«)å¿…è¦ã§ã™ã€‚ ä»Šå›žã¯OpenCVã§ã‚«ãƒ©ãƒ¼ã®ç”»åƒã‹ã‚‰ç·šç”»ã‚’é©å½“ã«æŠ½å‡ºã—ã¦ã„ã¾ã™ã€‚ æŠ½å‡ºä¾‹ â†’ ã‚«ãƒ©ãƒ¼ã®ç”»åƒã‚’é›†ã‚ã¦ç·šç”»ã‚’ä½œã‚Œã°ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã®å®Œæˆã§ã™ã€‚ï¼ˆä»Šå›žã¯ï¼–ï¼ä¸‡æžšãã‚‰ã„ä½¿ã£ã¦ã„ã¾ã™ï¼‰ ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®å½¢ã§ã™ãŒã€U-netã¨ã„ã†æœ€åˆã®æ–¹ã§ã‚³ãƒ³ãƒœãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ã™ã‚‹æ™‚ã®å±¤ã®å‡º
tokuryoo 2016/12/27
computer vision

deep learning

chainer
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chainerã®liniar.pyã®æ¼”ç®—å‡¦ç†ã‚’ç¢ºèªã™ã‚‹ - Qiita
ç’°å¢ƒ GPU GTX1070 ubuntu 14.04 chainer 1.14.0 ãªã© ã¯ã˜ã‚ã« chainerã§æœ€æ–°ã®ãƒ¢ãƒ‡ãƒ«ã‚’å®Ÿè£…ã™ã‚‹éš›ã«ã¯ã€links/connectionã‚„functions/connectionã‚’ã„ã˜ã‚‹å¿…è¦ãŒã‚ã‚‹ã€‚ ãã“ã§æœ€ã‚‚å˜ç´”ãªlinear.pyã‚’ã„ã˜ã£ã¦ã€æ–°ã—ã„å±¤ã‚’ä½œã£ã¦ã¿ã‚‹ã€‚ç¬¬ï¼‘å›žã‚ã¯linear.pyã®ä¸èº«ã‚’ç¢ºèªã™ã‚‹ã€‚ MNISTã§æ€§èƒ½ã‚’ç¢ºèªã™ã‚‹ ã¾ãšã€MNISTã§æ€§èƒ½ã‚’ç¢ºèªã™ã‚‹ã€‚sampleã®train_mnist.pyã«ã¯ä»¥ä¸‹ã®ã‚ˆã†ã«ï¼“å±¤ã®linearãŒä½¿ã‚ã‚Œã¦ã„ã‚‹ã€‚ # Network definition class MLP(chainer.Chain): def __init__(self, n_in, n_units, n_out): super(MLP, self).__init__( l1=L.Linear(n_in, n_units)
tokuryoo 2016/12/15
chainer
ãƒªãƒ³ã‚¯
ä»Šå¹´(2016)å‚è€ƒã«ã•ã›ã¦ã‚‚ã‚‰ã£ãŸChainerã®è«–æ–‡å®Ÿè£…ã€ã‚µãƒ³ãƒ—ãƒ«ã‚³ãƒ¼ãƒ‰é›† - studylog/åŒ—ã®é›²
åŽ»å¹´æ›¸ã„ãŸã‚µãƒ³ãƒ—ãƒ«ã‚³ãƒ¼ãƒ‰é›†ã®2016å¹´ç‰ˆã§ã™ã€‚ å€‹äººçš„ãªèˆˆå‘³ç¯„å›²ã®ã¿é›†ã‚ã¦ã„ã‚‹ã®ã§ç¶²ç¾…çš„ã§ã¯ç„¡ã„ã¨ã¯æ€ã„ã¾ã™ã€‚ åŸºæœ¬çš„ã«ä¸Šã®æ–¹ãŒæ–°ã—ã„ã‚³ãƒ¼ãƒ‰ã§ã™ã€‚ QRNN(Quasi-Recurrent Neural Networks) è«–æ–‡ã§ã¯chainerã‚’ä½¿ã£ã¦å®Ÿé¨“ã—ã¦ãŠã‚Šã€æ™®é€šã®LSTMã¯ã‚‚ã¡ã‚ã‚“cuDNNã‚’ä½¿ã£ãŸLSTMã‚ˆã‚Šã‚‚é«˜é€Ÿã‚‰ã—ã„ã€‚ ä¸€ç•ªä¸‹ã«chainerå®Ÿè£…ã‚³ãƒ¼ãƒ‰ãŒåŸ‹ã‚è¾¼ã¾ã‚Œã¦ã„ã‚‹ã€‚ New neural network building block allows faster and more accurate text understanding [1611.01576] Quasi-Recurrent Neural Networks Softmaxãªã©ã«è¦ã—ã¦ã„ã‚‹æ™‚é–“ã‚’é™¤ãç´”ç²‹ã«RNNéƒ¨ã ã‘ã§æ¯”è¼ƒã™ã‚‹ã¨ç›¸å½“é€Ÿããªã£ã¦ã„ã‚‹ã®ãŒã‚ã‹ã‚‹ã€‚ ã“ã®ã‚ˆã†ã«å®Ÿé¨“ã§chainerãŒä½¿ã‚ã‚Œã¦ã„ã‚‹ç ”
tokuryoo 2016/12/13
chainer

paper

deep learning

rnn
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Chainerã®ã‚½ãƒ¼ã‚¹ã‚’è§£æžã€‚å¦ç¿’ãƒ«ãƒ¼ãƒ—ã¯ Trainer ã« | ã‚³ãƒ¼ãƒ‰ï¼—åŒº
MNIST ã®ã‚µãƒ³ãƒ—ãƒ«ã® å¤§ä½“ ã®æµã‚Œã‚’è¿½ã£ã¦ã¿ã¾ã™ã€‚ï¼ˆè©³ã—ã„å‡¦ç†ã¯ã“ã¡ã‚‰ã§ï¼‰ ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯ 1.14.0 ã€2016å¹´9æœˆ5æ—¥æ™‚ç‚¹ã®ã‚½ãƒ¼ã‚¹ã§ã™ã€‚ å…¨ä½“ã®æµã‚Œã¯ã“ã†ãªã£ã¦ãŠã‚Š â‘ ãƒ¢ãƒ‡ãƒ«ã®ç”Ÿæˆ â‘¡ ã‚ªãƒ—ãƒ†ã‚£ãƒžã‚¤ã‚¶ã®ç”Ÿæˆ â‘¢ å¦ç¿’ãƒ‡ãƒ¼ã‚¿ã®ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ â‘£ trainerã€updater ã®ç”Ÿæˆ â‘¤ Extension ã®ç™»éŒ² â‘¥ å¦ç¿’ãƒ«ãƒ¼ãƒ— ã‚½ãƒ¼ã‚¹ã¯ã“ã‚“ãªæ„Ÿã˜ã§ã™ã€‚
tokuryoo 2016/12/09
chainer
ãƒªãƒ³ã‚¯
Chainerã®ã‚½ãƒ¼ã‚¹ã‚’è§£æžã€‚é †ä¼æ’ã¨é€†ä¼æ’ã®ä»•çµ„ã¿ | ã‚³ãƒ¼ãƒ‰ï¼—åŒº
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tokuryoo 2016/12/07
chainer
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Google Colab
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tokuryoo 2016/12/01
chainer

deep learning
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tokuryoo 2016/10/12
chainer

deep learning
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Amazon.co.jp: Chainerã«ã‚ˆã‚‹å®Ÿè·µæ·±å±¤å¦ç¿’: æ–°ç´æµ©å¹¸: æœ¬
tokuryoo 2016/10/03
chainer

book

deep learning
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æ·±å±¤å¦ç¿’ãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ Chainer ã®é–‹ç™ºã¨ä»Šå¾Œã®å±•é–‹
MIRU2016 ã§ã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«è¬›æ¼”ã®ã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚æ·±å±¤å¦ç¿’ãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ã®ä¸€èˆ¬çš„ãªæ§‹æˆã‹ã‚‰ã€Chainer ã®è§£èª¬ã€æ·±å±¤å¦ç¿’ã«ãŠã‘ã‚‹ OSS é–‹ç™ºã®ä¾‹ã¨å¦ç”Ÿãƒ»ç ”ç©¶è€…ãŒãã“ã«ã©ã®ã‚ˆã†ã«é–¢ã‚ã£ã¦ã„ãã‹ã«ã¤ã„ã¦æ›¸ã„ã¦ã„ã¾ã™ã€‚Read less
tokuryoo 2016/08/02
chainer
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