<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[sumshine_的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/sumshine_</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; sumshine_]]></copyright><item><title><![CDATA[windows git+vscode+gitlab 上传代码]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/135149107</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/135149107</guid><author>sumshine_</author><pubDate>Fri, 22 Dec 2023 15:14:08 +0800</pubDate><description><![CDATA[在官网下载，安装时在下图这步如图中这样选择，其余步骤默认就好。]]></description><category></category></item><item><title><![CDATA[AST: Audio Spectrogram Transformer运用]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/134576246</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/134576246</guid><author>sumshine_</author><pubDate>Thu, 23 Nov 2023 16:34:39 +0800</pubDate><description><![CDATA[AST是面向音频的transform算法，源于ViT，模型的输入并不直接是音频而是频谱图。下图是AST的模型结构图。从图中可以看出，AST运用了transform的encoder部分，运用了位置编码，详细内容不在本篇解释，本篇主要学会应用。]]></description><category></category></item><item><title><![CDATA[【代码调试】We couldn‘t connect to ‘https://huggingface.co‘ to load this file问题解决]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/132827157</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/132827157</guid><author>sumshine_</author><pubDate>Tue, 12 Sep 2023 11:50:31 +0800</pubDate><description><![CDATA[发现不通过科学上网网页是打不开的，于是打开科学上网再次运行代码，结果出现了新的报错——HTTPSConnectionPool(host='huggingface.co', port=443.分析这个错误是科学上网配置引起的，不好解决，放弃这个思路。3、之后点击files and versions下载所需模型（图中红圈部分，弄不清楚要什么就全下载），在搜索框搜索所需模型（我需要facebook/wav2vec2-base-960h）问题分析：看报错代码猜测这应该是国内网没办法访问引起的，通过浏览器打开。]]></description><category></category></item><item><title><![CDATA[ModuleNotFoundError: No module named ‘cv2‘]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/131944642</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/131944642</guid><author>sumshine_</author><pubDate>Wed, 26 Jul 2023 17:48:43 +0800</pubDate><description><![CDATA[【代码】ModuleNotFoundError: No module named ‘cv2‘]]></description><category></category></item><item><title><![CDATA[No module named ‘keras.layers.recurrent‘/ ‘tensorflow.keras.optimizers‘]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/131944380</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/131944380</guid><author>sumshine_</author><pubDate>Wed, 26 Jul 2023 17:45:40 +0800</pubDate><description><![CDATA[2、第二个提示没有改模块但给出了包所在路径，点击路径查看原.py文件，在其中可以发现导入adam类的方法。问题描述：已安装tensorflow，导入其他模块不报错，导入红框内的模块报错。1、网上搜索到可以在tensorflow后加一个python，尝试解决了第一个。]]></description><category></category></item><item><title><![CDATA[安装ignite的坑]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/131943981</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/131943981</guid><author>sumshine_</author><pubDate>Wed, 26 Jul 2023 17:33:41 +0800</pubDate><description><![CDATA[分析：打开ignite.py文件发现确实不存在metrics类，进一步推理出现的原因——类名输出or包下载错误。解决：网上搜索 from ignite import metrics 可以发现下面文档。ignite.metrics — PyTorch-Ignite v0.4.12 文档。打开文档发现其中用法与期望一致，在官方文档中搜索可以找到安装方法，安装提示如下。不提示没有ignite包了，但会发现没有metrics这个类。打开程序提示没有ignite包，按照一般情况执行了下列语句。]]></description><category></category></item><item><title><![CDATA[【动手学习深度学习】9 循环神经网络（先验知识、RNN、GRU、LSTM etc.）]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/131775309</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/131775309</guid><author>sumshine_</author><pubDate>Sun, 23 Jul 2023 22:31:03 +0800</pubDate><description><![CDATA[循环神经网络一些总结]]></description><category></category></item><item><title><![CDATA[git出错：“Please make sure you have the correct access rights and the repository exists.]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/131759797</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/131759797</guid><author>sumshine_</author><pubDate>Mon, 17 Jul 2023 09:49:47 +0800</pubDate><description><![CDATA[记录下，参考：git出错：“Please make sure you have the correct access rights and the repository exists.-腾讯云开发者社区-腾讯云 (tencent.com)]]></description><category></category></item><item><title><![CDATA[【动手学习深度学习】8 经典卷积神经网络 LeNet]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/127289767</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/127289767</guid><author>sumshine_</author><pubDate>Thu, 13 Oct 2022 21:28:38 +0800</pubDate><description><![CDATA[理解和跑了下经典卷积神经网络 LeNet]]></description><category></category></item><item><title><![CDATA[【动手学习深度学习】7 卷积神经网络基础]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/127229332</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/127229332</guid><author>sumshine_</author><pubDate>Wed, 12 Oct 2022 18:02:42 +0800</pubDate><description><![CDATA[CNN的基础知识——卷积、填充与步幅、多输入与多输出、池化层
以及实现的nn.Conv2d()、nn.MaxPool2d()函数的一些总结归纳]]></description><category></category></item><item><title><![CDATA[【Django】一个新的文件如何配置环境]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/127144758</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/127144758</guid><author>sumshine_</author><pubDate>Sun, 02 Oct 2022 17:51:48 +0800</pubDate><description><![CDATA[第一次打开新文件右上角黑底白字的Django会有个红叉，也没办法运行。其实这是一个配置环境的问题。]]></description><category></category></item><item><title><![CDATA[【动手学习深度学习】实战Kaggle比赛：预测房价]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/127079089</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/127079089</guid><author>sumshine_</author><pubDate>Sat, 01 Oct 2022 18:02:19 +0800</pubDate><description><![CDATA[这个例子把之前这段时间学的东西大概都用了下，相当于一个总结吧。同时通过这个例子搞清楚了怎么在GitHub上上传文件与参加kaggle竞赛，就是说不愧是大佬搞出来的东西，一个网站上手都花费了一点时间。这个代码上传到GitHub上了，用jupyter notebook写的，每一步都写的挺清楚的，留下一个链接。]]></description><category></category></item><item><title><![CDATA[如何上传文件到GitHub（图文）]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/127135657</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/127135657</guid><author>sumshine_</author><pubDate>Sat, 01 Oct 2022 17:59:02 +0800</pubDate><description><![CDATA[通过GIt Bash将本地文件上传到GitHub。]]></description><category></category></item><item><title><![CDATA[win10忘记密码，重装系统]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/127129045</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/127129045</guid><author>sumshine_</author><pubDate>Fri, 30 Sep 2022 21:12:27 +0800</pubDate><description><![CDATA[win10忘记密码，重装系统]]></description><category></category></item><item><title><![CDATA[【动手学习深度学习】6 丢弃法+数值稳定性+模型初始化和激活函数]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/127058466</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/127058466</guid><author>sumshine_</author><pubDate>Tue, 27 Sep 2022 11:20:04 +0800</pubDate><description><![CDATA[丢弃法也是为了降低模型复杂度而引出，同时也有提高acc，降低loss的效果]]></description><category></category></item><item><title><![CDATA[【动手学习深度学习】 5 模型选择+过拟合和欠拟合+权值衰退]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/127040828</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/127040828</guid><author>sumshine_</author><pubDate>Sun, 25 Sep 2022 21:24:16 +0800</pubDate><description><![CDATA[通过划分训练集与测试集去验证一个模型的好坏，在数据量不大的情况下，会运用K-折交叉验证。
模型选择不当会导致过拟合和欠拟合问题。
针对过拟合问题，可以采用权值衰退的方法。]]></description><category></category></item><item><title><![CDATA[【动手学习深度学习】4 多层感知机(MLP)]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/127030208</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/127030208</guid><author>sumshine_</author><pubDate>Sun, 25 Sep 2022 17:54:46 +0800</pubDate><description><![CDATA[多层感知机通过引入激活函数与隐藏层，使机器的学习能力逐渐加深]]></description><category></category></item><item><title><![CDATA[【动手学习深度学习】3线性神经网络]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/126908060</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/126908060</guid><author>sumshine_</author><pubDate>Wed, 21 Sep 2022 19:18:32 +0800</pubDate><description><![CDATA[对线性回归与softmax回归做了一定总结与归纳]]></description><category></category></item><item><title><![CDATA[【如何读论文】]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/126958864</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/126958864</guid><author>sumshine_</author><pubDate>Tue, 20 Sep 2022 18:29:08 +0800</pubDate><description><![CDATA[李沫老师讲解的如何读论文的总结]]></description><category></category></item><item><title><![CDATA[【动手学习深度学习】数据预处理知识补充——Pandas库]]></title><link>https://blog.youkuaiyun.com/sumshine_/article/details/126829081</link><guid>https://blog.youkuaiyun.com/sumshine_/article/details/126829081</guid><author>sumshine_</author><pubDate>Wed, 14 Sep 2022 16:59:26 +0800</pubDate><description><![CDATA[Pandas 库是最常见的工具，提供了能够便捷地完成选取、重塑、切片、聚合等复杂精细的操作，对于深度学习来说，得到数据后要先进行数据预处理(数据清洗或做一些数据分析等)，认识数据。文中总结了一些我见过、用过的函数。]]></description><category></category></item></channel></rss>