<![CDATA[djb847279的博客]]>https://blog.youkuaiyun.com/djb847279zh-cnhttps://blog.youkuaiyun.com/<![CDATA[boost::regext正则表达式异常分析]]>https://blog.youkuaiyun.com/djb847279/article/details/102274876https://blog.youkuaiyun.com/djb847279/article/details/102274876djb847279Mon, 23 Oct 2017 22:29:00 +0800<![CDATA[机器学习--朴素贝叶斯分类，以及拉普拉斯校准]]>https://blog.youkuaiyun.com/djb847279/article/details/102274874https://blog.youkuaiyun.com/djb847279/article/details/102274874djb847279Thu, 19 Oct 2017 16:17:00 +0800<![CDATA[关于 epoch、 iteration和batchsize]]>https://blog.youkuaiyun.com/djb847279/article/details/102274873https://blog.youkuaiyun.com/djb847279/article/details/102274873djb847279Sat, 12 Nov 2016 17:24:00 +0800<![CDATA[神经网络为什么要用sigmoid函数？为什么要映射到0-1之间？]]>https://blog.youkuaiyun.com/djb847279/article/details/102274875https://blog.youkuaiyun.com/djb847279/article/details/102274875djb847279Sat, 12 Nov 2016 17:17:00 +0800<![CDATA[[转]使用国内镜像源来加速python pypi包的安装]]>https://blog.youkuaiyun.com/djb847279/article/details/102274872https://blog.youkuaiyun.com/djb847279/article/details/102274872djb847279Thu, 27 Oct 2016 15:52:00 +0800<![CDATA[Deep Learning（深度学习）学习笔记整理系列（三）——Deep Learning的基本思想]]>https://blog.youkuaiyun.com/djb847279/article/details/102274871https://blog.youkuaiyun.com/djb847279/article/details/102274871djb847279Wed, 03 Aug 2016 22:50:00 +0800<![CDATA[Deep Learning（深度学习）学习笔记整理系列之（四）——CNN]]>https://blog.youkuaiyun.com/djb847279/article/details/102274860https://blog.youkuaiyun.com/djb847279/article/details/102274860djb847279Wed, 03 Aug 2016 22:49:00 +0800<![CDATA[理解caffe的fine-tuning]]>https://blog.youkuaiyun.com/djb847279/article/details/102274859https://blog.youkuaiyun.com/djb847279/article/details/102274859djb847279Wed, 03 Aug 2016 22:31:00 +0800<![CDATA[卷积神经网络详解]]>https://blog.youkuaiyun.com/djb847279/article/details/102274858https://blog.youkuaiyun.com/djb847279/article/details/102274858djb847279Tue, 02 Aug 2016 11:17:00 +0800<![CDATA[Deep Learning（深度学习）学习笔记整理系列（二）——特征]]>https://blog.youkuaiyun.com/djb847279/article/details/102274857https://blog.youkuaiyun.com/djb847279/article/details/102274857djb847279Sun, 31 Jul 2016 17:49:00 +0800<![CDATA[Deep Learning（深度学习）学习笔记整理系列（一）——背景]]>https://blog.youkuaiyun.com/djb847279/article/details/102274856https://blog.youkuaiyun.com/djb847279/article/details/102274856djb847279Sun, 31 Jul 2016 16:18:00 +0800<![CDATA[Matlab简单快速读取nc文件]]>https://blog.youkuaiyun.com/djb847279/article/details/102274855https://blog.youkuaiyun.com/djb847279/article/details/102274855djb847279Thu, 14 Jul 2016 18:26:00 +0800<![CDATA[[转载]矩阵求导公式]]>https://blog.youkuaiyun.com/djb847279/article/details/102274854https://blog.youkuaiyun.com/djb847279/article/details/102274854djb847279Wed, 13 Jul 2016 22:19:00 +0800<![CDATA[机器学习中的数学(3)-模型组合(Model Combining)之Boosting与Gradient Boosting]]>https://blog.youkuaiyun.com/djb847279/article/details/102274853https://blog.youkuaiyun.com/djb847279/article/details/102274853djb847279Wed, 29 Jun 2016 23:14:00 +0800<![CDATA[机器学习中的算法(1)-决策树模型组合之随机森林与GBDT]]>https://blog.youkuaiyun.com/djb847279/article/details/102274852https://blog.youkuaiyun.com/djb847279/article/details/102274852djb847279Wed, 29 Jun 2016 23:13:00 +0800<![CDATA[机器学习中的算法：决策树模型组合之GBDT（Gradient Boost Decision Tree）]]>https://blog.youkuaiyun.com/djb847279/article/details/102274851https://blog.youkuaiyun.com/djb847279/article/details/102274851djb847279Wed, 29 Jun 2016 22:40:00 +0800<![CDATA[隐马尔可夫模型（HMM：Hidden Markov Models）]]>https://blog.youkuaiyun.com/djb847279/article/details/102274850https://blog.youkuaiyun.com/djb847279/article/details/102274850djb847279Wed, 29 Jun 2016 22:40:00 +0800