<![CDATA[hjkdh的博客]]>

<![CDATA[hjkdh的博客]]>https://blog.youkuaiyun.com/hjkdhzh-cnhttps://blog.youkuaiyun.com/<![CDATA[卷积核、特征图可视化]]>https://blog.youkuaiyun.com/hjkdh/article/details/125357950https://blog.youkuaiyun.com/hjkdh/article/details/125357950hjkdhSun, 19 Jun 2022 19:31:55 +0800<![CDATA[python目录，文件相关操作]]>https://blog.youkuaiyun.com/hjkdh/article/details/125348128https://blog.youkuaiyun.com/hjkdh/article/details/125348128hjkdhSat, 18 Jun 2022 16:49:25 +0800<![CDATA[AlexNet论文解读以Pytorch实现（含论文训练细节）]]>https://blog.youkuaiyun.com/hjkdh/article/details/124565443https://blog.youkuaiyun.com/hjkdh/article/details/124565443hjkdhWed, 04 May 2022 19:50:01 +0800<![CDATA[划分数据的方法]]>https://blog.youkuaiyun.com/hjkdh/article/details/124560224https://blog.youkuaiyun.com/hjkdh/article/details/124560224hjkdhTue, 03 May 2022 19:46:09 +0800<![CDATA[Pytorch数据封装进入网络前的几种方式]]>https://blog.youkuaiyun.com/hjkdh/article/details/124233483https://blog.youkuaiyun.com/hjkdh/article/details/124233483hjkdhSun, 17 Apr 2022 18:18:40 +0800<![CDATA[Variable与Tensor合并后，关于训练、验证的相关变化]]>https://blog.youkuaiyun.com/hjkdh/article/details/124225482https://blog.youkuaiyun.com/hjkdh/article/details/124225482hjkdhSun, 17 Apr 2022 15:50:10 +0800<![CDATA[torch.max()的用法]]>https://blog.youkuaiyun.com/hjkdh/article/details/124226045https://blog.youkuaiyun.com/hjkdh/article/details/124226045hjkdhSun, 17 Apr 2022 10:50:49 +0800<![CDATA[卷积神经网络构建的python基础-详细理解（Pytorch）]]>https://blog.youkuaiyun.com/hjkdh/article/details/124208268https://blog.youkuaiyun.com/hjkdh/article/details/124208268hjkdhSat, 16 Apr 2022 17:47:06 +0800<![CDATA[卷积神经网络实战——表情识别（Pytorch）超详细理解，含Pyqt5的可操作界面]]>https://blog.youkuaiyun.com/hjkdh/article/details/123069024https://blog.youkuaiyun.com/hjkdh/article/details/123069024hjkdhSun, 13 Mar 2022 20:44:16 +0800<![CDATA[神经网络数据增强transforms的相关操作（持续更新）]]>https://blog.youkuaiyun.com/hjkdh/article/details/123439969https://blog.youkuaiyun.com/hjkdh/article/details/123439969hjkdhSat, 12 Mar 2022 16:33:36 +0800<![CDATA[PIL，cv2读取类型及转换，以及PIL，numpy，tensor格式以及cuda，cpu的格式转换]]>https://blog.youkuaiyun.com/hjkdh/article/details/123097434https://blog.youkuaiyun.com/hjkdh/article/details/123097434hjkdhSat, 12 Mar 2022 09:55:34 +0800<![CDATA[神经网络中view()，torch.flatten(),torch.nn.Flatten()详解]]>https://blog.youkuaiyun.com/hjkdh/article/details/123082852https://blog.youkuaiyun.com/hjkdh/article/details/123082852hjkdhWed, 23 Feb 2022 11:22:27 +0800<![CDATA[数据挖掘Fp-tree]]>https://blog.youkuaiyun.com/hjkdh/article/details/105383986https://blog.youkuaiyun.com/hjkdh/article/details/105383986hjkdhTue, 22 Feb 2022 15:06:28 +0800<![CDATA[卷积神经网络的深入理解-评测指标篇（PR曲线，ROC曲线，AUC面积，IOU，AP含实例）]]>https://blog.youkuaiyun.com/hjkdh/article/details/122580242https://blog.youkuaiyun.com/hjkdh/article/details/122580242hjkdhWed, 19 Jan 2022 17:07:09 +0800<![CDATA[卷积神经网络的深入理解-最优化方法（梯度下降篇）（持续更新）]]>https://blog.youkuaiyun.com/hjkdh/article/details/122577650https://blog.youkuaiyun.com/hjkdh/article/details/122577650hjkdhWed, 19 Jan 2022 12:07:16 +0800<![CDATA[卷积神经网络的深入理解-正则化方法篇]]>https://blog.youkuaiyun.com/hjkdh/article/details/122577239https://blog.youkuaiyun.com/hjkdh/article/details/122577239hjkdhWed, 19 Jan 2022 11:46:12 +0800<![CDATA[卷积神经网络的深入理解-优化目标（损失函数）篇]]>https://blog.youkuaiyun.com/hjkdh/article/details/122576886https://blog.youkuaiyun.com/hjkdh/article/details/122576886hjkdhWed, 19 Jan 2022 11:29:42 +0800<![CDATA[卷积神经网络的深入理解-归一化篇（Batch Normalization具体实例）]]>https://blog.youkuaiyun.com/hjkdh/article/details/122576691https://blog.youkuaiyun.com/hjkdh/article/details/122576691hjkdhWed, 19 Jan 2022 11:17:06 +0800<![CDATA[卷积神经网络的深入理解-基础篇（卷积，激活，池化，误差反传）]]>https://blog.youkuaiyun.com/hjkdh/article/details/122576143https://blog.youkuaiyun.com/hjkdh/article/details/122576143hjkdhWed, 19 Jan 2022 11:09:12 +0800<![CDATA[深度学习深入理解——介绍]]>https://blog.youkuaiyun.com/hjkdh/article/details/122576082https://blog.youkuaiyun.com/hjkdh/article/details/122576082hjkdhWed, 19 Jan 2022 10:53:19 +0800