<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[一归AI]]></title><description><![CDATA[人工智能、机器学习、深度学习.....]]></description><link>https://blog.youkuaiyun.com/ask_yang</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; ask_yang]]></copyright><item><title><![CDATA[Yolo第Y2周：如何正确解读YOLO算法训练结果的各项指标]]></title><link>https://blog.youkuaiyun.com/ask_yang/article/details/142180044</link><guid>https://blog.youkuaiyun.com/ask_yang/article/details/142180044</guid><author>ask_yang</author><pubDate>Thu, 12 Sep 2024 16:44:18 +0800</pubDate><description><![CDATA[如何正确解读YOLO算法训练结果的各项指标]]></description><category></category></item><item><title><![CDATA[YOLO第Y1周：详解YOLO检测算法的训练参数]]></title><link>https://blog.youkuaiyun.com/ask_yang/article/details/142179994</link><guid>https://blog.youkuaiyun.com/ask_yang/article/details/142179994</guid><author>ask_yang</author><pubDate>Thu, 12 Sep 2024 16:43:26 +0800</pubDate><description><![CDATA[详解YOLO检测算法的训练参数]]></description><category></category></item><item><title><![CDATA[Tensorflow第T5周：运动鞋品牌识别]]></title><link>https://blog.youkuaiyun.com/ask_yang/article/details/142179949</link><guid>https://blog.youkuaiyun.com/ask_yang/article/details/142179949</guid><author>ask_yang</author><pubDate>Thu, 12 Sep 2024 16:42:47 +0800</pubDate><description><![CDATA[Tensorflow运动鞋识别]]></description><category></category></item><item><title><![CDATA[Tensorflow第T4周：猴痘病识别]]></title><link>https://blog.youkuaiyun.com/ask_yang/article/details/142179929</link><guid>https://blog.youkuaiyun.com/ask_yang/article/details/142179929</guid><author>ask_yang</author><pubDate>Thu, 12 Sep 2024 16:42:18 +0800</pubDate><description><![CDATA[Tensorflow实现猴痘病识别]]></description><category></category></item><item><title><![CDATA[Tensorflow第T3周：天气识别]]></title><link>https://blog.youkuaiyun.com/ask_yang/article/details/142179904</link><guid>https://blog.youkuaiyun.com/ask_yang/article/details/142179904</guid><author>ask_yang</author><pubDate>Thu, 12 Sep 2024 16:41:17 +0800</pubDate><description><![CDATA[Tensorflow天气识别]]></description><category></category></item><item><title><![CDATA[Tensorflow第T2周：彩色图片分类]]></title><link>https://blog.youkuaiyun.com/ask_yang/article/details/141929843</link><guid>https://blog.youkuaiyun.com/ask_yang/article/details/141929843</guid><author>ask_yang</author><pubDate>Thu, 05 Sep 2024 14:21:54 +0800</pubDate><description><![CDATA[Tensorflow基于cifar10数据集实现彩色图识别，准确率优化到72.6%]]></description><category></category></item><item><title><![CDATA[人工智能环境与编译器安装]]></title><link>https://blog.youkuaiyun.com/ask_yang/article/details/141867217</link><guid>https://blog.youkuaiyun.com/ask_yang/article/details/141867217</guid><author>ask_yang</author><pubDate>Tue, 03 Sep 2024 17:21:32 +0800</pubDate><description><![CDATA[人工智能开发环境搭建：Python+jupyter lab ]]></description><category></category></item><item><title><![CDATA[Tensorflow第T1周：Tensorflow实现mnist手写数字识别]]></title><link>https://blog.youkuaiyun.com/ask_yang/article/details/141864699</link><guid>https://blog.youkuaiyun.com/ask_yang/article/details/141864699</guid><author>ask_yang</author><pubDate>Tue, 03 Sep 2024 16:18:35 +0800</pubDate><description><![CDATA[MNIST手写数字数据集来源于是美国国家标准与技术研究所，是著名的公开数据集之一。数据集中的数字图片是由250个不同职业的人纯手写绘制，数据集获取的网址为：http://yann.lecun.com/exdb/mnist/（下载后需解压）。我们一般会采用这行代码直接调用，这样就比较简单MNIST手写数字数据集中包含了70000张图片，其中60000张为训练数据，10000为测试数据，70000张图片均是28*28，数据集样本如下：如果我们把每一张图片中的像素转换为向量，则得到长度为28*28=784。]]></description><category></category></item></channel></rss>