<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[superiser的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/superiser</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; superiser]]></copyright><item><title><![CDATA[在AutoDL上训练MPRNet]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/139247581</link><guid>https://blog.youkuaiyun.com/superiser/article/details/139247581</guid><author>superiser</author><pubDate>Mon, 27 May 2024 21:32:06 +0800</pubDate><description><![CDATA[autodl上配置：pytorch2.1   ubuntu22.04   cuda 12.1    python3.10选用了一块4090D。]]></description><category></category></item><item><title><![CDATA[【霹雳吧啦-目标检测篇】faster_RCNN （my_dataset.py）]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/137468400</link><guid>https://blog.youkuaiyun.com/superiser/article/details/137468400</guid><author>superiser</author><pubDate>Sun, 07 Apr 2024 19:43:42 +0800</pubDate><description><![CDATA[check file 进一步处理之前生成的XML文件列表， 检查这些XML文件的存在性和内容，并将满足条件的XML文件路径添加到另一个列表中。transforms = None ： 预处理方法，设置为True时会执行文件夹中的transforms.py文件。img_path:   获取图片的路径,通过根目录和 filename 中的内容拼接获得。判断使用的是2007还是2012版本的VOC数据集，若不是会输出提示信息。labels[ ] ： 存储的是分类目标的索引值，即。]]></description><category></category></item><item><title><![CDATA[我遇到的问题]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/137080447</link><guid>https://blog.youkuaiyun.com/superiser/article/details/137080447</guid><author>superiser</author><pubDate>Wed, 27 Mar 2024 16:02:42 +0800</pubDate><description><![CDATA[解决方法]]></description><category></category></item><item><title><![CDATA[锐捷客户端linux连接方法]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/137021667</link><guid>https://blog.youkuaiyun.com/superiser/article/details/137021667</guid><author>superiser</author><pubDate>Mon, 25 Mar 2024 18:47:50 +0800</pubDate><description><![CDATA[参考3.2的修改网卡名字。用户MAC地址绑定错误参考第二章，修改MAC地址。]]></description><category></category></item><item><title><![CDATA[毫米波雷达学习路线]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/136742257</link><guid>https://blog.youkuaiyun.com/superiser/article/details/136742257</guid><author>superiser</author><pubDate>Fri, 15 Mar 2024 15:55:26 +0800</pubDate><description><![CDATA[此篇讲了 毫米波雷达 的一些基础原理，工作方式等内容。]]></description><category></category></item><item><title><![CDATA[【小土堆】完整模型训练套路]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/136079131</link><guid>https://blog.youkuaiyun.com/superiser/article/details/136079131</guid><author>superiser</author><pubDate>Thu, 08 Feb 2024 18:41:00 +0800</pubDate><description><![CDATA[同时，为了跟上视频进度，我将训练轮数仅设置为 2 次。刚刚开始起步，有不对的欢迎指正一起学习。]]></description><category></category></item><item><title><![CDATA[pytorch损失函数、反向传播、优化器【小土堆】]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/136068199</link><guid>https://blog.youkuaiyun.com/superiser/article/details/136068199</guid><author>superiser</author><pubDate>Wed, 07 Feb 2024 13:38:46 +0800</pubDate><description><![CDATA[（链接可以直接跳转）]]></description><category></category></item><item><title><![CDATA[神经网络【小土堆】]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/136023866</link><guid>https://blog.youkuaiyun.com/superiser/article/details/136023866</guid><author>superiser</author><pubDate>Tue, 06 Feb 2024 13:39:58 +0800</pubDate><description><![CDATA[在输入图像中（例：5*5），中使用池化核（3*3），取池化选中的9个数字中最大的一个。Ceil_model = True 时，因步长使输入图像中被选中区域不足池化核大小时的数据，进行保留并取最大值。Ceil_model = False 时，因步长使输入图像中被选中区域不足池化核大小时的数据，直接舍去nn.Linear定义一个神经网络的线性层，方法签名如下：torch.nn.Linear(in_features, # 输入的神经元个数out_features, # 输出神经元个数。]]></description><category></category></item><item><title><![CDATA[pytorch学习：B站【小土堆】]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/136007421</link><guid>https://blog.youkuaiyun.com/superiser/article/details/136007421</guid><author>superiser</author><pubDate>Sat, 03 Feb 2024 14:53:27 +0800</pubDate><description><![CDATA[b站：我是土堆，PyTorch深度学习快速入门教程（绝对通俗易懂！）【小土堆】
仅个人学习记笔记使用]]></description><category></category></item><item><title><![CDATA[jupyter notebook更改保存路径]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/135815729</link><guid>https://blog.youkuaiyun.com/superiser/article/details/135815729</guid><author>superiser</author><pubDate>Wed, 24 Jan 2024 10:27:58 +0800</pubDate><description><![CDATA[然后通过 prompt中更改环境的路径再启动虚拟环境来更改notebook保存位置。再启动jupyter notebook，之后再保存就可以保存在自己想要的位置了。本人在尝试正常方法下发现属性里文件路径太长导致无法更改。此路径是我想保存的位置。]]></description><category></category></item><item><title><![CDATA[计算机视觉学习路线]]></title><link>https://blog.youkuaiyun.com/superiser/article/details/135700222</link><guid>https://blog.youkuaiyun.com/superiser/article/details/135700222</guid><author>superiser</author><pubDate>Fri, 19 Jan 2024 16:25:52 +0800</pubDate><description><![CDATA[计算机视觉学习路线]]></description><category></category></item></channel></rss>