ロジスティック回帰（logistic regression）の学習が，確率的勾配降下法（SGD: stochastic gradient descent）を使って，非常に簡単に書けることを示すPythonコード．コメントや空行を除けば十数行です． リストの内包表記，条件演算子（Cで言う三項演算子），... 続きを読む

• www.chokkan.org
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Terms and Conditions The code below is given under the GNU Lesser General Public License. Use on your own risk ! The code was developed on cygwin using g++ version 3.4.4. Most of the code was also tested on Linux using g++ version 4.0.3 I've ... 続きを読む

• www.cs.huji.ac.il:shais
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Stochastic Gradient Descent (SGD) has been historically associated with back-propagation algorithms in multilayer neural networks. These nonlinear nonconvex problems can be very difficult. Therefore it is useful to see how Stochastic Gradient... 続きを読む

• leon.bottou.org
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