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14:26:42 +0800</pubDate><description><![CDATA[libsvm和liblinear的使用总结]]></description><category></category></item><item><title><![CDATA[卷积神经网络的一些细节]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89736845</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89736845</guid><author>qq_44945010</author><pubDate>Wed, 01 May 2019 12:13:35 +0800</pubDate><description><![CDATA[卷积神经网络的一些细节]]></description><category></category></item><item><title><![CDATA[Kaggle比赛-Otto Group Product Classification-打败一半参赛队伍的简单解法]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89736235</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89736235</guid><author>qq_44945010</author><pubDate>Wed, 01 May 2019 10:56:19 +0800</pubDate><description><![CDATA[Kaggle比赛-Otto Group Product 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tutorial（2）机器学习算法在训练过程中保存参数]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89707953</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89707953</guid><author>qq_44945010</author><pubDate>Tue, 30 Apr 2019 13:55:45 +0800</pubDate><description><![CDATA[DeepLearning tutorial（2）机器学习算法在训练过程中保存参数]]></description><category></category></item><item><title><![CDATA[相似度计算]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89675422</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89675422</guid><author>qq_44945010</author><pubDate>Mon, 29 Apr 2019 15:13:58 +0800</pubDate><description><![CDATA[相似度计算]]></description><category></category></item><item><title><![CDATA[Kaggle入门——使用scikit-learn解决DigitRecognition问题]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89672912</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89672912</guid><author>qq_44945010</author><pubDate>Mon, 29 Apr 2019 13:29:15 +0800</pubDate><description><![CDATA[Kaggle入门——使用scikit-learn解决DigitRecognition问题]]></description><category></category></item><item><title><![CDATA[2015阿里天池大数据竞赛-Solution]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89671014</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89671014</guid><author>qq_44945010</author><pubDate>Mon, 29 Apr 2019 11:18:10 +0800</pubDate><description><![CDATA[2015阿里天池大数据竞赛-Solution]]></description><category></category></item><item><title><![CDATA[Neural networks and deep learning 概览]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89645838</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89645838</guid><author>qq_44945010</author><pubDate>Sun, 28 Apr 2019 21:01:57 +0800</pubDate><description><![CDATA[Neural networks and deep learning 概览]]></description><category></category></item><item><title><![CDATA[利用Python PIL cPickle读取和保存图像数据库]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89635241</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89635241</guid><author>qq_44945010</author><pubDate>Sun, 28 Apr 2019 11:52:29 +0800</pubDate><description><![CDATA[利用Python PIL cPickle读取和保存图像数据库]]></description><category></category></item><item><title><![CDATA[图像语义分析--深度学习方法]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89604977</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89604977</guid><author>qq_44945010</author><pubDate>Sat, 27 Apr 2019 18:05:30 +0800</pubDate><description><![CDATA[图像语义分析--深度学习方法]]></description><category></category></item><item><title><![CDATA[DeepLearning tutorial（7）深度学习框架Keras的使用-进阶]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89522856</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89522856</guid><author>qq_44945010</author><pubDate>Thu, 25 Apr 2019 19:08:11 +0800</pubDate><description><![CDATA[DeepLearning tutorial（7）深度学习框架Keras的使用-进阶]]></description><category></category></item><item><title><![CDATA[【机器学习算法实现】logistic回归  基于Python和Numpy函数库]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89521146</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89521146</guid><author>qq_44945010</author><pubDate>Thu, 25 Apr 2019 17:48:15 +0800</pubDate><description><![CDATA[【机器学习算法实现】logistic回归  基于Python和Numpy函数库]]></description><category></category></item><item><title><![CDATA[KMeans聚类算法思想与可视化]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89488147</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89488147</guid><author>qq_44945010</author><pubDate>Wed, 24 Apr 2019 10:49:07 +0800</pubDate><description><![CDATA[KMeans聚类算法思想与可视化]]></description><category></category></item><item><title><![CDATA[【简化数据】奇异值分解 SVD]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89486197</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89486197</guid><author>qq_44945010</author><pubDate>Wed, 24 Apr 2019 09:30:56 +0800</pubDate><description><![CDATA[【简化数据】奇异值分解 SVD]]></description><category></category></item><item><title><![CDATA[流形学习-高维数据的降维与可视化]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89481469</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89481469</guid><author>qq_44945010</author><pubDate>Tue, 23 Apr 2019 21:17:39 +0800</pubDate><description><![CDATA[流形学习-高维数据的降维与可视化]]></description><category></category></item><item><title><![CDATA[【机器学习算法实现】kNN算法  手写识别——基于Python和NumPy函数库]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89479811</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89479811</guid><author>qq_44945010</author><pubDate>Tue, 23 Apr 2019 19:57:16 +0800</pubDate><description><![CDATA[【机器学习算法实现】kNN算法  手写识别——基于Python和NumPy函数库]]></description><category></category></item><item><title><![CDATA[DeepLearning tutorial（1）Softmax回归原理简介+代码详解]]></title><link>https://blog.youkuaiyun.com/qq_44945010/article/details/89478017</link><guid>https://blog.youkuaiyun.com/qq_44945010/article/details/89478017</guid><author>qq_44945010</author><pubDate>Tue, 23 Apr 2019 18:04:43 +0800</pubDate><description><![CDATA[DeepLearning tutorial（1）Softmax回归原理简介+代码详解]]></description><category></category></item></channel></rss>