<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Int321的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Int321</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Int321]]></copyright><item><title><![CDATA[Transformers Learning Rate Schedules]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/145156269</link><guid>https://blog.youkuaiyun.com/Int321/article/details/145156269</guid><author>Int321</author><pubDate>Wed, 15 Jan 2025 11:11:24 +0800</pubDate><description><![CDATA[起始阶段可以使用较大的学习率，在后续阶段根据多项式的衰减规律减小学习率，直到达到最小值。常数学习率调度器，带热身：在训练开始时通过一个热身阶段逐渐增加学习率，然后在后续训练中保持学习率不变。线性衰减调度器：在预热阶段（warmup）使用较小的学习率，然后在后续的训练中，学习率从初始值线性衰减到最小值。余弦衰减带最小学习率调度器：类似于余弦衰减调度器，但是在衰减时会设置一个最小的学习率阈值。平方根反比调度器：学习率按步数的平方根反比衰减，即随着训练的进行，学习率会根据训练步数的平方根逐渐减小。]]></description><category></category></item><item><title><![CDATA[IDNA-ABF: DNA甲基化可解释预测的多尺度深度生物语言学习模型]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/144025533</link><guid>https://blog.youkuaiyun.com/Int321/article/details/144025533</guid><author>Int321</author><pubDate>Mon, 25 Nov 2024 13:45:15 +0800</pubDate><description><![CDATA[https://blog.youkuaiyun.com/weixin_42424479/article/details/127391453?spm=1001.2014.3001.5502]]></description><category></category></item><item><title><![CDATA[PlncRNA-HDeep：使用基于两种编码风格的混合深度学习进行植物长非编码 RNA 预测]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/143918986</link><guid>https://blog.youkuaiyun.com/Int321/article/details/143918986</guid><author>Int321</author><pubDate>Wed, 20 Nov 2024 16:45:59 +0800</pubDate><description><![CDATA[长链非编码 RNA （lncRNAs） 在调控生物活动中起着重要作用，其预测对探索生物过程具有重要意义。长短期记忆 （LSTM） 和卷积神经网络 （CNN） 可以自动从编码的 RNA 序列中提取和学习抽象信息，以避免复杂的特征工程。集成模型从多个角度学习信息，并显示出比单个模型更好的性能。将 RNA 序列分别视为句子和图像来训练 LSTM 和 CNN，然后将训练好的模型杂交以预测 lncRNAs，这是可行且有趣的。到目前为止，lncRNAs 有多种预测因子，但很少有预测因子被提议用于植物。]]></description><category></category></item><item><title><![CDATA[BIB｜通过自注意力与残差网络来预测DNA与蛋白质结合位点]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/143778981</link><guid>https://blog.youkuaiyun.com/Int321/article/details/143778981</guid><author>Int321</author><pubDate>Thu, 14 Nov 2024 19:39:36 +0800</pubDate><description><![CDATA[在本文中，作者设计并实现了一种新颖的深度迁移学习方法SAResNet，以预测DNA序列中的DNA-蛋白质结合位点。特别是，作者结合了自注意力机制和残差结构来提出了一个新的深度学习架构，并通过迁移学习训练了网络模型。在基准数据集（690 ChIP-seq数据集）上的测试表明，作者提出的SAResNet的性能优于其他最新方法。Web Server参考文献。]]></description><category></category></item><item><title><![CDATA[【无标题】特征降维的常见方法]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/143559892</link><guid>https://blog.youkuaiyun.com/Int321/article/details/143559892</guid><author>Int321</author><pubDate>Wed, 06 Nov 2024 09:50:28 +0800</pubDate><description><![CDATA[x_1.shape torch.Size([32, 96, 1000])怎么在1000的维度上降维，1000是seq_len要在形状 [32, 96, 1000] 的张量上对序列长度（seq_len = 1000）进行降维，可以采用多种方法。]]></description><category></category></item><item><title><![CDATA[计算深度学习的参数]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/142690927</link><guid>https://blog.youkuaiyun.com/Int321/article/details/142690927</guid><author>Int321</author><pubDate>Thu, 03 Oct 2024 12:51:25 +0800</pubDate><description><![CDATA[构建模型和学习率衰减。]]></description><category></category></item><item><title><![CDATA[ReduceLROnPlateau学习率衰减设置]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/142459188</link><guid>https://blog.youkuaiyun.com/Int321/article/details/142459188</guid><author>Int321</author><pubDate>Mon, 23 Sep 2024 15:20:08 +0800</pubDate><description><![CDATA[学习率衰减有多种方式，本次采用optim.lr_scheduler.ReduceLROnPlateau，这种方式代表在发现loss不再降低或者acc不再提高之后，降低学习率。在训练过程中加入如下代码。]]></description><category></category></item><item><title><![CDATA[flask开启调试模式，热部署]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/140730082</link><guid>https://blog.youkuaiyun.com/Int321/article/details/140730082</guid><author>Int321</author><pubDate>Sat, 27 Jul 2024 09:11:46 +0800</pubDate><description><![CDATA[功能快捷键什么是热部署？简单说就是你程序改了，现在要重新启动服务器，嫌麻烦？不用重启，服务器会自己悄悄的把更新后的程序给重新加载一遍，这就是热部署（抄的）。没有找到怎么在pycharm中设置，我是在命令行中执行的，执行图片在最后面1.把命令行切换到你所用的anaconda环境下（没有conda的可以忽略），再切换到所在的目录下2.在命令行中输入输入set FLASK_DEBUG=1  # 开启debug模式set FLASK_ENV=development    # 开启开发模式。]]></description><category></category></item><item><title><![CDATA[箱线图模板]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/139834103</link><guid>https://blog.youkuaiyun.com/Int321/article/details/139834103</guid><author>Int321</author><pubDate>Thu, 20 Jun 2024 15:27:32 +0800</pubDate><description><![CDATA[箱线图模板]]></description><category></category></item><item><title><![CDATA[pytorch保存加载模型的两种方式]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/139801844</link><guid>https://blog.youkuaiyun.com/Int321/article/details/139801844</guid><author>Int321</author><pubDate>Wed, 19 Jun 2024 14:27:28 +0800</pubDate><description><![CDATA[pytorch保存加载模型的两种方式]]></description><category></category></item><item><title><![CDATA[jbrowse2 [idx_check_range] Region cannot be stored in a tbi index. Try using a csi inde]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/136308340</link><guid>https://blog.youkuaiyun.com/Int321/article/details/136308340</guid><author>Int321</author><pubDate>Mon, 26 Feb 2024 20:57:36 +0800</pubDate><description><![CDATA[修改config.json。ln -s  原地址。]]></description><category></category></item><item><title><![CDATA[阿里云配置安全组端口无法访问]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/135463840</link><guid>https://blog.youkuaiyun.com/Int321/article/details/135463840</guid><author>Int321</author><pubDate>Mon, 08 Jan 2024 18:32:57 +0800</pubDate><description><![CDATA[要选择根服务器地区相同的来配置安全组。]]></description><category></category></item><item><title><![CDATA[STORAGE_WRITE_ERROR_:./Application/Runtime/Cache/Home/5f5878b563bbd0551b6c84d71156b7e9.php]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/135262820</link><guid>https://blog.youkuaiyun.com/Int321/article/details/135262820</guid><author>Int321</author><pubDate>Thu, 28 Dec 2023 10:23:11 +0800</pubDate><description><![CDATA[解决2：如果上面方案没有解决，考虑服务器的空间是否充足，如果服务器空间用尽也会出现上述报错，禁止缓存文件生成，将之前生成的缓存文件删除，，在common下的conf下的配置文件中加上。‘TMPL_CACHE_ON’ => false,//禁止模板编译缓存。‘HTML_CACHE_ON’ => false,//禁止静态缓存。解决1：给Runtime目录添加权限；]]></description><category></category></item><item><title><![CDATA[Linux下用find查找并复制指定文件到指定目录下]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/135245950</link><guid>https://blog.youkuaiyun.com/Int321/article/details/135245950</guid><author>Int321</author><pubDate>Wed, 27 Dec 2023 14:48:04 +0800</pubDate><description><![CDATA[将./ 目录下所有的 .doc 文件 移动到/tmp/doc目录下。]]></description><category></category></item><item><title><![CDATA[Ubuntu18.04安装miniconda3及使用]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/129801871</link><guid>https://blog.youkuaiyun.com/Int321/article/details/129801871</guid><author>Int321</author><pubDate>Mon, 27 Mar 2023 19:24:59 +0800</pubDate><description><![CDATA[ubuntu18.04安装anaconda。接下来需要注意安装路径，记住安装路径。没有安装成功，则需要进行配置环境变量。接下来进行测试是否安装成功。接着退出，进行环境变量生效。然后一直enter就行。]]></description><category></category></item><item><title><![CDATA[FGM对抗训练]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/129710141</link><guid>https://blog.youkuaiyun.com/Int321/article/details/129710141</guid><author>Int321</author><pubDate>Wed, 22 Mar 2023 15:06:38 +0800</pubDate><description><![CDATA[【代码】FGM对抗训练。]]></description><category></category></item><item><title><![CDATA[Cannot resolve symbol ‘HttpServlet‘]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/129598578</link><guid>https://blog.youkuaiyun.com/Int321/article/details/129598578</guid><author>Int321</author><pubDate>Thu, 16 Mar 2023 20:37:33 +0800</pubDate><description><![CDATA[要导入jsp-api.jar和servlet-api.jar包 这两个包可以在tomcat中找到。web项目extends HttpServlet爆红。]]></description><category></category></item><item><title><![CDATA[from gensim._matutils import logsumexp, mean_absolute_difference, dirichlet_expectation File “]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/129234972</link><guid>https://blog.youkuaiyun.com/Int321/article/details/129234972</guid><author>Int321</author><pubDate>Mon, 27 Feb 2023 09:03:23 +0800</pubDate><description><![CDATA[ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject]]></description><category></category></item><item><title><![CDATA[huggingface的Transformers库报错 Failed to import transformers.models.gpt2.modeling_gpt2 because of the f]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/129211765</link><guid>https://blog.youkuaiyun.com/Int321/article/details/129211765</guid><author>Int321</author><pubDate>Sat, 25 Feb 2023 09:26:44 +0800</pubDate><description><![CDATA[huggingface报错**]]></description><category></category></item><item><title><![CDATA[深度学习常用的python函数（一）]]></title><link>https://blog.youkuaiyun.com/Int321/article/details/129049349</link><guid>https://blog.youkuaiyun.com/Int321/article/details/129049349</guid><author>Int321</author><pubDate>Fri, 17 Feb 2023 20:57:16 +0800</pubDate><description><![CDATA[由于我只简单的学过python和pytorch，其中有很多函数的操作都还是一知半解的，其中有些函数经常见到，所以就打算记录下来。]]></description><category></category></item></channel></rss>