随笔分类 - ML.NET
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<div class="entrylistPosttitle"><a id="CategoryEntryList1_EntryStoryList_ctl00_Entries_TitleUrl_0" class="entrylistItemTitle" href="https://www.cnblogs.com/seabluescn/p/10995991.html">机器学习框架ML.NET学习笔记【9】自动学习</a></div>
<div class="entrylistPostSummary"><div class="c_b_p_desc">摘要: 一个通过ML.NET实现自动学习的例子。<a href="https://www.cnblogs.com/seabluescn/p/10995991.html" class="c_b_p_desc_readmore">阅读全文</a></div></div>
<div class="entrylistItemPostDesc">posted @ <a href="https://www.cnblogs.com/seabluescn/p/10995991.html" title="permalink">2019-06-10 10:37</a> seabluescn 阅读(763) | <a href="https://www.cnblogs.com/seabluescn/p/10995991.html#FeedBack" title="comments, pingbacks, trackbacks">评论 (6)</a> <a href="https://i.cnblogs.com/EditPosts.aspx?postid=10995991" rel="nofollow">编辑</a></div>
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<div class="entrylistPosttitle"><a id="CategoryEntryList1_EntryStoryList_ctl00_Entries_TitleUrl_1" class="entrylistItemTitle" href="https://www.cnblogs.com/seabluescn/p/10967863.html">机器学习框架ML.NET学习笔记【8】目标检测（采用YOLO2模型）</a></div>
<div class="entrylistPostSummary"><div class="c_b_p_desc">摘要: 一个通过TinyYolo2模型实现目标检测的例子。<a href="https://www.cnblogs.com/seabluescn/p/10967863.html" class="c_b_p_desc_readmore">阅读全文</a></div></div>
<div class="entrylistItemPostDesc">posted @ <a href="https://www.cnblogs.com/seabluescn/p/10967863.html" title="permalink">2019-06-04 09:04</a> seabluescn 阅读(578) | <a href="https://www.cnblogs.com/seabluescn/p/10967863.html#FeedBack" title="comments, pingbacks, trackbacks">评论 (4)</a> <a href="https://i.cnblogs.com/EditPosts.aspx?postid=10967863" rel="nofollow">编辑</a></div>
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<div class="entrylistPosttitle"><a id="CategoryEntryList1_EntryStoryList_ctl00_Entries_TitleUrl_2" class="entrylistItemTitle" href="https://www.cnblogs.com/seabluescn/p/10947650.html">机器学习框架ML.NET学习笔记【7】人物图片颜值判断</a></div>
<div class="entrylistPostSummary"><div class="c_b_p_desc">摘要: 一个通过ML.NET实现人脸颜值检测的程序。<a href="https://www.cnblogs.com/seabluescn/p/10947650.html" class="c_b_p_desc_readmore">阅读全文</a></div></div>
<div class="entrylistItemPostDesc">posted @ <a href="https://www.cnblogs.com/seabluescn/p/10947650.html" title="permalink">2019-05-31 14:45</a> seabluescn 阅读(629) | <a href="https://www.cnblogs.com/seabluescn/p/10947650.html#FeedBack" title="comments, pingbacks, trackbacks">评论 (7)</a> <a href="https://i.cnblogs.com/EditPosts.aspx?postid=10947650" rel="nofollow">编辑</a></div>
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<div class="entrylistPosttitle"><a id="CategoryEntryList1_EntryStoryList_ctl00_Entries_TitleUrl_3" class="entrylistItemTitle" href="https://www.cnblogs.com/seabluescn/p/10944579.html">机器学习框架ML.NET学习笔记【6】TensorFlow图片分类</a></div>
<div class="entrylistPostSummary"><div class="c_b_p_desc">摘要: 通过ML.NET进行图片分类。<a href="https://www.cnblogs.com/seabluescn/p/10944579.html" class="c_b_p_desc_readmore">阅读全文</a></div></div>
<div class="entrylistItemPostDesc">posted @ <a href="https://www.cnblogs.com/seabluescn/p/10944579.html" title="permalink">2019-05-31 08:25</a> seabluescn 阅读(843) | <a href="https://www.cnblogs.com/seabluescn/p/10944579.html#FeedBack" title="comments, pingbacks, trackbacks">评论 (3)</a> <a href="https://i.cnblogs.com/EditPosts.aspx?postid=10944579" rel="nofollow">编辑</a></div>
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<div class="entrylistPosttitle"><a id="CategoryEntryList1_EntryStoryList_ctl00_Entries_TitleUrl_4" class="entrylistItemTitle" href="https://www.cnblogs.com/seabluescn/p/10941580.html">机器学习框架ML.NET学习笔记【4】多元分类之手写数字识别</a></div>
<div class="entrylistPostSummary"><div class="c_b_p_desc">摘要: 通过多元分类算法实现手写数字识别。<a href="https://www.cnblogs.com/seabluescn/p/10941580.html" class="c_b_p_desc_readmore">阅读全文</a></div></div>
<div class="entrylistItemPostDesc">posted @ <a href="https://www.cnblogs.com/seabluescn/p/10941580.html" title="permalink">2019-05-30 14:52</a> seabluescn 阅读(472) | <a href="https://www.cnblogs.com/seabluescn/p/10941580.html#FeedBack" title="comments, pingbacks, trackbacks">评论 (0)</a> <a href="https://i.cnblogs.com/EditPosts.aspx?postid=10941580" rel="nofollow">编辑</a></div>
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<div class="entrylistPosttitle"><a id="CategoryEntryList1_EntryStoryList_ctl00_Entries_TitleUrl_5" class="entrylistItemTitle" href="https://www.cnblogs.com/seabluescn/p/10942116.html">机器学习框架ML.NET学习笔记【5】多元分类之手写数字识别（续）</a></div>
<div class="entrylistPostSummary"><div class="c_b_p_desc">摘要: 一个利用ML.NET实现手写数字识别的例子。<a href="https://www.cnblogs.com/seabluescn/p/10942116.html" class="c_b_p_desc_readmore">阅读全文</a></div></div>
<div class="entrylistItemPostDesc">posted @ <a href="https://www.cnblogs.com/seabluescn/p/10942116.html" title="permalink">2019-05-30 14:52</a> seabluescn 阅读(191) | <a href="https://www.cnblogs.com/seabluescn/p/10942116.html#FeedBack" title="comments, pingbacks, trackbacks">评论 (0)</a> <a href="https://i.cnblogs.com/EditPosts.aspx?postid=10942116" rel="nofollow">编辑</a></div>
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<div class="entrylistPosttitle"><a id="CategoryEntryList1_EntryStoryList_ctl00_Entries_TitleUrl_6" class="entrylistItemTitle" href="https://www.cnblogs.com/seabluescn/p/10914829.html">机器学习框架ML.NET学习笔记【3】文本特征分析</a></div>
<div class="entrylistPostSummary"><div class="c_b_p_desc">摘要: 一个利用ML.NET实现中文文本分类的机器学习程序。<a href="https://www.cnblogs.com/seabluescn/p/10914829.html" class="c_b_p_desc_readmore">阅读全文</a></div></div>
<div class="entrylistItemPostDesc">posted @ <a href="https://www.cnblogs.com/seabluescn/p/10914829.html" title="permalink">2019-05-30 08:39</a> seabluescn 阅读(616) | <a href="https://www.cnblogs.com/seabluescn/p/10914829.html#FeedBack" title="comments, pingbacks, trackbacks">评论 (0)</a> <a href="https://i.cnblogs.com/EditPosts.aspx?postid=10914829" rel="nofollow">编辑</a></div>
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<div class="entrylistPosttitle"><a id="CategoryEntryList1_EntryStoryList_ctl00_Entries_TitleUrl_7" class="entrylistItemTitle" href="https://www.cnblogs.com/seabluescn/p/10907109.html">机器学习框架ML.NET学习笔记【2】入门之二元分类</a></div>
<div class="entrylistPostSummary"><div class="c_b_p_desc">摘要: 一个利用ML.NET进行二元分类的例子。<a href="https://www.cnblogs.com/seabluescn/p/10907109.html" class="c_b_p_desc_readmore">阅读全文</a></div></div>
<div class="entrylistItemPostDesc">posted @ <a href="https://www.cnblogs.com/seabluescn/p/10907109.html" title="permalink">2019-05-29 21:36</a> seabluescn 阅读(822) | <a href="https://www.cnblogs.com/seabluescn/p/10907109.html#FeedBack" title="comments, pingbacks, trackbacks">评论 (1)</a> <a href="https://i.cnblogs.com/EditPosts.aspx?postid=10907109" rel="nofollow">编辑</a></div>
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<div class="entrylistPosttitle"><a id="CategoryEntryList1_EntryStoryList_ctl00_Entries_TitleUrl_8" class="entrylistItemTitle" href="https://www.cnblogs.com/seabluescn/p/10904391.html">机器学习框架ML.NET学习笔记【1】基本概念与系列文章目录</a></div>
<div class="entrylistPostSummary"><div class="c_b_p_desc">摘要: 微软的机器学习框架于2018年5月出了0.1版本，2019年5月发布1.0版本。期间各版本之间差异（包括命名空间、方法等）还是比较大的，随着1.0版发布，应该是趋于稳定了。之前在园子里也看到不少相关介绍的文章，对我的学习提供了不少帮助。由于目前资料不是很丰富，所以学习过程中也走了不少弯路，本系列的文章主要记录我学习过程中的一些心得体会，并对一些细节会做详细的解释，希望能为机器学习零基础的同学提供一些帮助。<a href="https://www.cnblogs.com/seabluescn/p/10904391.html" class="c_b_p_desc_readmore">阅读全文</a></div></div>
<div class="entrylistItemPostDesc">posted @ <a href="https://www.cnblogs.com/seabluescn/p/10904391.html" title="permalink">2019-05-29 14:07</a> seabluescn 阅读(1442) | <a href="https://www.cnblogs.com/seabluescn/p/10904391.html#FeedBack" title="comments, pingbacks, trackbacks">评论 (6)</a> <a href="https://i.cnblogs.com/EditPosts.aspx?postid=10904391" rel="nofollow">编辑</a></div>
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