Backup of DeepLearning (No. 32)

• Backup list
• View the diff.
• View the diff current.
• View the diff for visual.
• View the source.
• Go to DeepLearning.
  • 1 (2014-02-02 (Sun) 20:12:03)
  • 2 (2014-08-27 (Wed) 13:05:34)
  • 3 (2014-10-10 (Fri) 21:35:41)
  • 4 (2014-10-26 (Sun) 20:34:09)
  • 5 (2014-12-01 (Mon) 22:34:58)
  • 6 (2015-01-30 (Fri) 19:10:20)
  • 7 (2015-05-17 (Sun) 21:14:32)
  • 8 (2015-05-30 (Sat) 13:34:00)
  • 9 (2015-06-15 (Mon) 00:02:49)
  • 10 (2015-06-25 (Thu) 11:24:56)
  • 11 (2015-07-15 (Wed) 20:31:50)
  • 12 (2015-07-20 (Mon) 22:50:11)
  • 13 (2015-07-27 (Mon) 01:23:54)
  • 14 (2015-07-31 (Fri) 00:06:03)
  • 15 (2015-11-03 (Tue) 23:18:11)
  • 16 (2015-11-08 (Sun) 18:54:08)
  • 17 (2015-11-10 (Tue) 00:54:21)
  • 18 (2015-11-12 (Thu) 15:51:00)
  • 19 (2015-11-25 (Wed) 09:54:41)
  • 20 (2015-12-31 (Thu) 11:40:29)
  • 21 (2016-01-16 (Sat) 12:17:52)
  • 22 (2016-01-19 (Tue) 23:26:16)
  • 23 (2016-02-27 (Sat) 22:51:24)
  • 24 (2016-04-28 (Thu) 15:59:45)
  • 25 (2016-05-12 (Thu) 23:22:05)
  • 26 (2016-05-13 (Fri) 01:23:52)
  • 27 (2016-05-13 (Fri) 02:57:33)
  • 28 (2016-05-13 (Fri) 19:08:32)
  • 29 (2016-05-14 (Sat) 02:38:01)
  • 30 (2016-06-02 (Thu) 11:09:16)
  • 31 (2016-06-05 (Sun) 20:04:41)
  • 32 (2016-06-12 (Sun) 01:48:13)
  • 33 (2016-07-24 (Sun) 16:39:11)
  • 34 (2017-03-15 (Wed) 19:22:43)
  • 35 (2018-01-09 (Tue) 23:44:12)
  • 36 (2018-02-24 (Sat) 21:51:48)
  • 37 (2018-02-27 (Tue) 18:16:08)
  • 38 (2018-06-12 (Tue) 21:29:29)
  • 39 (2018-06-13 (Wed) 10:03:58)
  • 40 (2018-08-04 (Sat) 00:54:32)
  • 41 (2018-10-23 (Tue) 10:11:42)
  • 42 (2019-01-17 (Thu) 12:33:18)
  • 43 (2019-11-12 (Tue) 23:47:16)
  • 44 (2021-04-19 (Mon) 15:26:41)
  • 45 (2021-07-25 (Sun) 15:31:16)
  • 46 (2021-08-09 (Mon) 00:43:39)

MachineLearning | NeuralNetwork

• Deep learning
  • http://www.slideshare.net/kazoo04/deep-learning-15097274
• 一般向けのDeep Learning
  • http://www.slideshare.net/pfi/deep-learning-22350063

• ディープラーニング チュートリアル（もしくは研究動向報告）
  • http://www.vision.is.tohoku.ac.jp/files/9313/6601/7876/CVIM_tutorial_deep_learning.pdf
• Deep Learning技術の今
  • http://www.slideshare.net/beam2d/deep-learning20140130
• Deep learning実装の基礎と実践
  • http://www.slideshare.net/beam2d/deep-learningimplementation
• 自然言語処理のためのDeep Learning
  • http://www.slideshare.net/yutakikuchi927/deep-learning-26647407

• Deep Learning の前に 知っておいたほうがいいこと
  • http://www.slideshare.net/muddydixon/neural-network-introduction-yapc-asia-tokyo
    • SOM - DNN

• 深層学習の知見を深めるキャンペーン
  • http://tam5917.hatenablog.com/entry/2016/05/30/164534

アルゴリズム

• DBN (Deep Belief Nets)
• Convolutional Neural Networks (CNN)

事前学習

• RBM (制約付きボルツマンマシン（Restricted Boltzmann Machine）
• AutoCoder

ツール

• Evaluation of Deep Learning Toolkits
  • https://github.com/zer0n/deepframeworks

• DistBelief > TensorFlow (Google)
• Amazon DSSTNE

• Keras

python

• Theano
• Caffe
• Chainer

• ConvNet

サービス

• Labellio

FPGA

• MicrosoftがFPGAでDeepLearningしてた

論文

• LIST OF 75 MOST POPULAR DEEP LEARNING PAPERS IN THE BIBLIOGRAPHY
  • http://memkite.com/blog/2014/10/24/the-75-most-popular-deep-learning-papers-in-the-bibliography/
• Accelerating Deep Convolutional Neural Networks Using Specialized Hardware
  • http://research.microsoft.com/pubs/240715/CNN%20Whitepaper.pdf
• SRCNN
• Curriculum Learning

応用例

• Googleの猫認識 (Deep Learning)
  • http://d.hatena.ne.jp/Zellij/20130608/p1
• ディープラーニングで○○したよまとめ
  • http://konnnnnok.hatenablog.com/entry/2015/11/24/204008
• ディープラーニングで洋服を整理してみました
  • http://tech.vasily.jp/entry/fashion-deep-learning

その他

• 「深層学習」第６章 畳込みニューラルネット
  • http://www.slideshare.net/matsukenbook/ss-50545587
• ディープラーニングのサマースクールで学んだ26のこと
  • http://postd.cc/26-things-i-learned-in-the-deep-learning-summer-school/
• ディープラーニングの最新動向
  • http://www.slideshare.net/pfi/ss-57087522
• DeNAの機械学習・深層学習活用した体験提供の挑戦
  • http://www.slideshare.net/hamadakoichi/dena-deep-learning

関連

• NeuralNetwork
• 機械学習 (MachineLearning)
• アルゴリズム (Algorithm)