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Deep LearningæŠ€è¡“ã®ä»Š
2. â¾ƒè‡ªâ¼°å·±ç´¹ä»‹ lï¬ å¾—å±… Â èª ä¹Ÿ Â (Seiya Â Tokui) æ ªå¼ä¼šç¤¾Preferred Â Infrastructure, Â Jubatus Â Pj. Â ãƒªã‚µãƒ¼ãƒãƒ£ãƒ¼ lï¬ å°‚â¾¨é–€ã¯æ©Ÿæ¢°å¦ç¿’ï¼ˆä¿®â¼ å£«ã€ç¾è·ï¼‰ lï¬ â€“ ç³»åˆ—ï¦œãƒ©ãƒ™ãƒªãƒ³ã‚°â†’ãƒãƒƒã‚·ãƒ¥ãƒ»è¿‘å‚æŽ¢ç´¢ï¥ªâ†’æ·±å±¤å¦ç¿’ lï¬ ä»Šã®èˆˆå‘³ã¯æ·±å±¤å¦ç¿’ã€è¡¨ç¾å¦ç¿’ã€åˆ†æ•£å¦ç¿’ã€æ˜ åƒè§£æž lï¬ @beam2d Â (Twitter, Â Github, Â etc.) 2 / Â 47 3. 2011å¹´ï¦Ž: Â â¾³éŸ³å£°èªè˜ï§¼ã«ãŠã‘ã‚‹æˆåŠŸ lï¬ lï¬ 3 / Â 47 DNN-â€â€‘â€’HMM Â ã‚’ä½¿ã£ãŸâ¼¿æ‰‹æ³•ãŒã€â¾³éŸ³å£°èªè˜ï§¼ã® Â word Â error Â rate Â ã§å¾“æ¥ æ³• Â (GMM) Â ã‚ˆã‚Š Â 10% Â å‰å¾Œã‚‚æ”¹å–„ æºå¸¯ç«¯æœ«ã«ãŠã‘ã‚‹â¾³éŸ³å£°æ“ä½œã« Â Deep Â Learning Â ãŒåˆ©ï§â½¤ç”¨ã•ã‚Œã‚‹ã‚ˆã†ã« F. Seide, G. Li and D. Yu.
overlast 2014/02/04
machinelearning

deeplearning
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A Tutorial Survey of Architectures, Algorithms, and Applications for Deep Learning - Microsoft Research
In this invited paper, my overview material on the same topic as presented in the plenary overview session of APSIPA-2011 and the tutorial material presented in the same conference (Deng, 2011) are expanded and updated to include more recent developments in deep learning . The previous and the updated materials cover both theory and applications, and analyze its future directions. The goal of this
overlast 2014/01/03
machinelearning

deeplearning
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Deep Learningã‚’å‹‰å¼·ã™ã‚‹éš›ã«å‚è€ƒã«ã—ãŸã‚µã‚¤ãƒˆãƒ»æ›¸ç±ã¾ã¨ã‚ - fz-qqq's diary
éšæ™‚æ›´æ–°ã—ã¦ã„ãã¾ã™ã€‚ Deep LearningãŒã‚¢ãƒ„ã„ã‚‰ã—ã„ï¼Ÿãªã«ãã‚Œï¼Ÿ ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆã®é€†è¥² | Preferred Research ä¸€èˆ¬å‘ã‘ã®Deep Learning Live broadcast by Ustream Ustream.tv: ãƒ¦ãƒ¼ã‚¶ãƒ¼ preferred: ä¸€èˆ¬å‘ã‘ã®Deep Learning, PFI Show. ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ â€œ 100mä¸–ç•Œè¨˜éŒ²ã«ãŠã‘ã‚‹ãƒœãƒ«ãƒˆã®ã‚ˆã†ãªç«‹å ´ â€ ãƒ‡ãƒ¼ã‚¿ãƒžã‚¤ãƒ‹ãƒ³ã‚°ã‚³ãƒ³ãƒšãƒ†ã‚£ã‚·ãƒ§ãƒ³ã‚µã‚¤ãƒˆ Kaggle ã«ã‚‚ Deep Learning ãƒ–ãƒ¼ãƒ ãŒãã¦ã‚‹ã‹ã¨æ€ã£ãŸã®ã§ã¾ã¨ã‚ã‚‹ - ç³žãƒãƒƒãƒˆå¼æ…¶ Deep Learningã«ã‚ˆã£ã¦ç²¾åº¦ãŒå‘ä¸Šã—ãŸã‚¿ã‚¹ã‚¯ãªã©ã‚’ã¾ã¨ã‚ã¦ãã‚Œã¦ã„ã¾ã™ã€‚ Googleã®çŒ«èªè˜ (Deep Learning) - å¤§äººã«ãªã£ã¦ã‹ã‚‰ã®å†å¦ç¿’ Googleã«ã‚ˆã‚‹ã€çŒ«ãƒ»é¡”ã®èªè˜ã«ã¤ã„ã¦ äººå·¥çŸ¥èƒ½ã¯äººé–“ã‚’è¶…ãˆã‚‹ã‹ (è§’
overlast 2013/11/30
machinelearning

deeplearning
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Neural networks and deep learning
Neural Networks and Deep Learning What this book is about On the exercises and probl ems Using neural nets to recognize handwritten digits How the backpropagation algorithm works Improving the way neural networks learn A visual proof that neural nets can compute any function Why are deep neural networks hard to train? Deep learning Appendix: Is there a simple algorithm for intelligence? Acknowledge
overlast 2013/11/27
deeplearning
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