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[[TableOfContents]]

= 概要 =

= 公式サイト =

= 関連サイト =
 * http://scikit-image.org/

= ライブラリ =
== caffe ==
 * [http://caffe.berkeleyvision.org/ Caffe | Deep Learning Framework]

== chainer ==
 * [http://chainer.org/ Chainer: A flexible framework of neural networks]
 * [https://github.com/pfnet/chainer pfnet/chainer · GitHub]
 * [http://research.preferred.jp/2015/06/deep-learning-chainer/ Deep Learning のフレームワーク Chainer を公開しました | Preferred Research]

== OpenDeep ==
 * [http://www.opendeep.org/ OpenDeep]

= 設定 =

= 利用方法 =

= 入門記事 =
 * [http://techblog.yahoo.co.jp/programming/caffe-intro/ Caffeで手軽に画像分類 - Yahoo! JAPAN Tech Blog]

= リファレンスモデル =
 * [http://caffe.berkeleyvision.org/model_zoo.html Caffe | Model Zoo]
 * [https://github.com/BVLC/caffe/wiki/Model-Zoo Model Zoo · BVLC/caffe Wiki · GitHub]

= 参考サイト =
 * [http://www.deeplearning.net/tutorial/ Deep Learning Tutorials — DeepLearning 0.1 documentation]
 * [http://www.slideshare.net/pfi/deep-learning-22350063 一般向けのDeep Learning]
 * [http://blog.yusugomori.com/post/42244843471/python-deep-learning-denoising-autoencoders PythonによるDeep  Learningの実装（Denoising Autoencoders 編） - Yusuke Sugomori's Blog]
 * [http://www.slideshare.net/KentaOono/20141209sigmodj Deep Learning技術の最近の動向とPreferred Networksの取り組み]
 * [http://www.slideshare.net/nlab_utokyo/deep-learning-40959442 Deep Learningと画像認識～歴史・理論・実践～]
 * https://github.com/BVLC/caffe/blob/master/python/requirements.txt
 * http://qiita.com/wellflat/items/0b6b859bb275fd4526ed
 * http://qiita.com/uchihashi_k/items/8333f80529bb3498e32f
 * http://www.slideshare.net/atelierhide/py-conjp2014-slideshare
 * [http://aidiary.hatenablog.com/entry/20150429/1430271006 Deep Learning リンク集 - 人工知能に関する断創録]

 * [http://www.slideshare.net/hokutokagaya/convolutional-neural-network-cv-35089848 Convolutional Neural Network @ CV勉強会関東]
 * [http://qiita.com/uchihashi_k/items/8333f80529bb3498e32f 機械学習 - CaffeでDeep Learning つまずきやすいところを中心に - Qiita]
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CategoryMachineLearning