【目录】【中文】【deplearning.ai】【吴恩达课后作业目录】

缺乏、安全感 2024-04-20 08:27 47阅读 0赞

本文链接： [https://blog.csdn.net/u013733326/article/details/79827273][https_blog.csdn.net_u013733326_article_details_79827273]

<table> 
 <tbody> 
 <tr> 
 <td colspan="6">【目录】【吴恩达课后作业目录】</td> 
 </tr> 
 <tr> 
 <td>课程</td> 
 <td>周数</td> 
 <td>名称</td> 
 <td>类型</td> 
 <td>语言</td> 
 <td>地址</td> 
 </tr> 
 <tr> 
 <td>课程1 - 神经网络和深度学习</td> 
 <td>第1周</td> 
 <td>深度学习简介</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79862336" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>无编程作业</td> 
 <td>编程作业</td> 
 <td>——</td> 
 <td>——</td> 
 </tr> 
 <tr> 
 <td>第2周</td> 
 <td>神经网络基础</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79865858" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>具有神经网络思维的Logistic回归</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79639509" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>第3周</td> 
 <td>浅层神经网络</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79866913" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>带有一个隐藏层的平面数据分类</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79702148" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>第4周</td> 
 <td>深度神经网络的关键概念</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79868527" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>一步步搭建多层神经网络以及应用（1 &amp; 2）</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79767169" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>课程2 - 改善深层神经网络</td> 
 <td>第1周</td> 
 <td>深度学习的实践</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79869511" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>初始化、正则化、梯度校验（1 &amp; 2 &amp; 3）</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79847918" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>第2周</td> 
 <td>优化算法</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79877639" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>优化算法实战</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79907419" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>第3周</td> 
 <td>超参数调整，批量标准化，编程框架</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79959713" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>TensorFlow入门</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/79971488" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>课程3 - 结构化机器学习项目</td> 
 <td>第1周</td> 
 <td>和平之城中的鸟类识别(案例研究)</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80000199" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>无编程作业</td> 
 <td>编程作业</td> 
 <td>——</td> 
 <td>——</td> 
 </tr> 
 <tr> 
 <td>第2周</td> 
 <td>自动驾驶（案例研究）</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80028921" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>无编程作业</td> 
 <td>编程作业</td> 
 <td>——</td> 
 <td>——</td> 
 </tr> 
 <tr> 
 <td>课程4 - 卷积神经网络</td> 
 <td>第1周</td> 
 <td>卷积神经网络的基本知识</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80046299" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>搭建卷积神经网络模型以及应用（1&amp;2）</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80086090" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>第2周</td> 
 <td>深度卷积模型</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80166080" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>Keras入门与残差网络的搭建</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80250818" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>第3周</td> 
 <td>检测算法</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80306093" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>车辆识别</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80341740" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>第4周</td> 
 <td>特殊应用：人脸识别和神经风格转换</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80736992" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>人脸识别与神经风格转换</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80767079" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>课程5 - 序列模型</td> 
 <td>第1周</td> 
 <td>循环神经网络</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80855595" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>搭建循环神经网络及其应用</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/80890454" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>第2周</td> 
 <td>自然语言处理与词嵌入</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/83089164" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>词向量的运算与Emoji生成器</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/83341643" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>第3周</td> 
 <td>序列模型与注意力机制</td> 
 <td>测验</td> 
 <td>中英</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/90144255" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 <tr> 
 <td>机器翻译与触发词检测</td> 
 <td>编程作业</td> 
 <td>中文</td> 
 <td> <a href="https://blog.csdn.net/u013733326/article/details/97619187" rel="nofollow"> 传送门 </a> </td> 
 </tr> 
 </tbody> 
</table>

[Link 1]: http://creativecommons.org/licenses/by-sa/4.0/
[https_blog.csdn.net_u013733326_article_details_79827273]: https://blog.csdn.net/u013733326/article/details/79827273