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<h2 class="post-title" itemprop="name headline">吴恩达deeplearning.ai课程笔记总结</h2>
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<p>在吴恩达机器学习系列课程完结后不久，一位名叫<a href="https://www.slideshare.net/TessFerrandez?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview" title="Tess Ferrandez小姐姐的主页" rel="external nofollow" target="_blank">Tess Ferrandez</a>的小姐姐在推特上分享了一套自己的课程笔记，瞬间收获了3k+赞和1k+转发。</p>
<p>不同于满屏公式代码的黑白笔记，这套信息图不仅知识点满满，且行文构图都像插画一样颜值颇高。吴恩达自己也在推特上转发称赞了这一位有诚意的学习者，毕竟他一直倡导学习是一件简单快乐的事情。</p>
<p>Link: <a href="https://www.slideshare.net/TessFerrandez/notes-from-coursera-deep-learning-courses-by-andrew-ng" title="笔记源地址" rel="external nofollow" target="_blank">笔记源地址</a></p>
<a id="more"></a>
<h1 id="深度学习介绍"><a href="#深度学习介绍" class="headerlink" title="深度学习介绍"></a>深度学习介绍</h1><p><img src="./AnderewNg-deeplearning-note-summary/1.png" alt=""></p>
<h1 id="逻辑回归"><a href="#逻辑回归" class="headerlink" title="逻辑回归"></a>逻辑回归</h1><p><img src="./AnderewNg-deeplearning-note-summary/2.png" alt=""></p>
<h1 id="浅层神经网络"><a href="#浅层神经网络" class="headerlink" title="浅层神经网络"></a>浅层神经网络</h1><p><img src="./AnderewNg-deeplearning-note-summary/3.png" alt=""></p>
<h1 id="深层神经网络"><a href="#深层神经网络" class="headerlink" title="深层神经网络"></a>深层神经网络</h1><p><img src="./AnderewNg-deeplearning-note-summary/4.png" alt=""></p>
<h1 id="机器学习应用程序设置"><a href="#机器学习应用程序设置" class="headerlink" title="机器学习应用程序设置"></a>机器学习应用程序设置</h1><p><img src="./AnderewNg-deeplearning-note-summary/5.png" alt=""></p>
<h1 id="正则化——防止过拟合"><a href="#正则化——防止过拟合" class="headerlink" title="正则化——防止过拟合"></a>正则化——防止过拟合</h1><p><img src="./AnderewNg-deeplearning-note-summary/6.png" alt=""></p>
<h1 id="优化训练"><a href="#优化训练" class="headerlink" title="优化训练"></a>优化训练</h1><p><img src="./AnderewNg-deeplearning-note-summary/7.png" alt=""></p>
<h1 id="优化算法"><a href="#优化算法" class="headerlink" title="优化算法"></a>优化算法</h1><p><img src="./AnderewNg-deeplearning-note-summary/8.png" alt=""></p>
<h1 id="超参数调试"><a href="#超参数调试" class="headerlink" title="超参数调试"></a>超参数调试</h1><p><img src="./AnderewNg-deeplearning-note-summary/9.png" alt=""></p>
<h1 id="机器学习项目构建"><a href="#机器学习项目构建" class="headerlink" title="机器学习项目构建"></a>机器学习项目构建</h1><p><img src="./AnderewNg-deeplearning-note-summary/10.png" alt=""></p>
<h1 id="错误分析"><a href="#错误分析" class="headerlink" title="错误分析"></a>错误分析</h1><p><img src="./AnderewNg-deeplearning-note-summary/11.png" alt=""></p>
<h1 id="训练-vs-验证-测试-失配"><a href="#训练-vs-验证-测试-失配" class="headerlink" title="训练 vs 验证/测试 失配"></a>训练 vs 验证/测试 失配</h1><p><img src="./AnderewNg-deeplearning-note-summary/12.png" alt=""></p>
<h1 id="扩展学习"><a href="#扩展学习" class="headerlink" title="扩展学习"></a>扩展学习</h1><p><img src="./AnderewNg-deeplearning-note-summary/13.png" alt=""></p>
<h1 id="卷积基础"><a href="#卷积基础" class="headerlink" title="卷积基础"></a>卷积基础</h1><p><img src="./AnderewNg-deeplearning-note-summary/14.png" alt=""></p>
<h1 id="Padding"><a href="#Padding" class="headerlink" title="Padding"></a>Padding</h1><p><img src="./AnderewNg-deeplearning-note-summary/15.png" alt=""></p>
<h1 id="深层-CNN"><a href="#深层-CNN" class="headerlink" title="深层 CNN"></a>深层 CNN</h1><p><img src="./AnderewNg-deeplearning-note-summary/16.png" alt=""></p>
<h1 id="典型的-CNN-模型"><a href="#典型的-CNN-模型" class="headerlink" title="典型的 CNN 模型"></a>典型的 CNN 模型</h1><p><img src="./AnderewNg-deeplearning-note-summary/17.png" alt=""></p>
<h1 id="ResNet"><a href="#ResNet" class="headerlink" title="ResNet"></a>ResNet</h1><p><img src="./AnderewNg-deeplearning-note-summary/18.png" alt=""></p>
<h1 id="实用建议"><a href="#实用建议" class="headerlink" title="实用建议"></a>实用建议</h1><p><img src="./AnderewNg-deeplearning-note-summary/19.png" alt=""></p>
<h1 id="检测算法"><a href="#检测算法" class="headerlink" title="检测算法"></a>检测算法</h1><p><img src="./AnderewNg-deeplearning-note-summary/20.png" alt=""></p>
<h1 id="人脸识别"><a href="#人脸识别" class="headerlink" title="人脸识别"></a>人脸识别</h1><p><img src="./AnderewNg-deeplearning-note-summary/21.png" alt=""></p>
<h1 id="神经风格迁移"><a href="#神经风格迁移" class="headerlink" title="神经风格迁移"></a>神经风格迁移</h1><p><img src="./AnderewNg-deeplearning-note-summary/22.png" alt=""></p>
<h1 id="循环神经网络"><a href="#循环神经网络" class="headerlink" title="循环神经网络"></a>循环神经网络</h1><p><img src="./AnderewNg-deeplearning-note-summary/23.png" alt=""></p>
<h1 id="更多-RNN-模型"><a href="#更多-RNN-模型" class="headerlink" title="更多 RNN 模型"></a>更多 RNN 模型</h1><p><img src="./AnderewNg-deeplearning-note-summary/24.png" alt=""></p>
<h1 id="NLP-词嵌入"><a href="#NLP-词嵌入" class="headerlink" title="NLP-词嵌入"></a>NLP-词嵌入</h1><p><img src="./AnderewNg-deeplearning-note-summary/25.png" alt=""></p>
<h1 id="词嵌入详解"><a href="#词嵌入详解" class="headerlink" title="词嵌入详解"></a>词嵌入详解</h1><p><img src="./AnderewNg-deeplearning-note-summary/26.png" alt=""></p>
<h1 id="序列到序列基本模型"><a href="#序列到序列基本模型" class="headerlink" title="序列到序列基本模型"></a>序列到序列基本模型</h1><p><img src="./AnderewNg-deeplearning-note-summary/27.png" alt=""></p>
<h1 id="序列到序列"><a href="#序列到序列" class="headerlink" title="序列到序列"></a>序列到序列</h1><p><img src="./AnderewNg-deeplearning-note-summary/28.png" alt=""></p>
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<div style="text-align:center;color: #ccc;font-size:14px;">-------------本文结束<i class="fa fa-heart"></i>感谢您的阅读-------------</div>
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<p><span>本文标题:</span><a href="/AnderewNg-deeplearning-note-summary.html">吴恩达deeplearning.ai课程笔记总结</a></p>
<p><span>文章作者:</span><a href="/" title="访问 Keavnn 的个人博客">Keavnn</a></p>
<p><span>发布时间:</span>2019年03月25日 - 18:03</p>
<p><span>最后更新:</span>2019年05月13日 - 22:05</p>
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<div class="post-toc-content"><ol class="nav"><li class="nav-item nav-level-1"><a class="nav-link" href="#深度学习介绍"><span class="nav-number">1.</span> <span class="nav-text">深度学习介绍</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#逻辑回归"><span class="nav-number">2.</span> <span class="nav-text">逻辑回归</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#浅层神经网络"><span class="nav-number">3.</span> <span class="nav-text">浅层神经网络</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#深层神经网络"><span class="nav-number">4.</span> <span class="nav-text">深层神经网络</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#机器学习应用程序设置"><span class="nav-number">5.</span> <span class="nav-text">机器学习应用程序设置</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#正则化——防止过拟合"><span class="nav-number">6.</span> <span class="nav-text">正则化——防止过拟合</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#优化训练"><span class="nav-number">7.</span> <span class="nav-text">优化训练</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#优化算法"><span class="nav-number">8.</span> <span class="nav-text">优化算法</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#超参数调试"><span class="nav-number">9.</span> <span class="nav-text">超参数调试</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#机器学习项目构建"><span class="nav-number">10.</span> <span class="nav-text">机器学习项目构建</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#错误分析"><span class="nav-number">11.</span> <span class="nav-text">错误分析</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#训练-vs-验证-测试-失配"><span class="nav-number">12.</span> <span class="nav-text">训练 vs 验证/测试 失配</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#扩展学习"><span class="nav-number">13.</span> <span class="nav-text">扩展学习</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#卷积基础"><span class="nav-number">14.</span> <span class="nav-text">卷积基础</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#Padding"><span class="nav-number">15.</span> <span class="nav-text">Padding</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#深层-CNN"><span class="nav-number">16.</span> <span class="nav-text">深层 CNN</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#典型的-CNN-模型"><span class="nav-number">17.</span> <span class="nav-text">典型的 CNN 模型</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#ResNet"><span class="nav-number">18.</span> <span class="nav-text">ResNet</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#实用建议"><span class="nav-number">19.</span> <span class="nav-text">实用建议</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#检测算法"><span class="nav-number">20.</span> <span class="nav-text">检测算法</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#人脸识别"><span class="nav-number">21.</span> <span class="nav-text">人脸识别</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#神经风格迁移"><span class="nav-number">22.</span> <span class="nav-text">神经风格迁移</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#循环神经网络"><span class="nav-number">23.</span> <span class="nav-text">循环神经网络</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#更多-RNN-模型"><span class="nav-number">24.</span> <span class="nav-text">更多 RNN 模型</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#NLP-词嵌入"><span class="nav-number">25.</span> <span class="nav-text">NLP-词嵌入</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#词嵌入详解"><span class="nav-number">26.</span> <span class="nav-text">词嵌入详解</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#序列到序列基本模型"><span class="nav-number">27.</span> <span class="nav-text">序列到序列基本模型</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#序列到序列"><span class="nav-number">28.</span> <span class="nav-text">序列到序列</span></a></li></ol></div>
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