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记录小润了解的各种机器学习算法的实现以及基础概念,包括有监督学习,无监督学习,分类,聚类,回归;神经元模型,多层感知器,BP算法;损失函数,激活函数,梯度下降法;全连接网络、卷积神经网络、递归神经网络;训练集,测试集,交叉验证,欠拟合,过拟合;数据规范化等

Home Page: http://blog.xiaorun.me/index.php/archives/232/

C++ 1.71% Python 88.07% C 0.71% R 6.51% MATLAB 2.98% Makefile 0.02%

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