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吴恩达在Coursera上推出的“深度学习专项课程“引起了一波AI学习热潮，而自发布以来，国内学习者对于课程汉化的呼声也从未停止。前些天，网易云课堂终于官方发布了经过授权的汉化课程

• 更多资料分享和技术交流，可加入吴恩达深度学习交流群：680932474
• 黄海广博士的资源汇总
• 何宽 - 【deplearning.ai】【吴恩达课后作业汇总】- CSDN
• (荐)中文版Quiz测试题
• 代码讲解视频(bilibili): https://space.bilibili.com/10410626

• (荐)哔哩哔哩up上传中英字幕课程：https://space.bilibili.com/288630933
• 网易云视频教程地址：https://mooc.study.163.com/university/deeplearning_ai#/c
• Coursera视频（收费，不过可以申请免费）：https://www.coursera.org/specializations/deep-learning
  • Coursera如何申请免费助学金？

1. Week1 - [第一周：深度学习引言(Introduction to Deep Learning)]
2. Week2 - [第二周：神经网络的编程基础(Basics of Neural Network programming)]
3. Week3 - [第三周：浅层神经网络(Shallow neural networks)]
4. Week4 - [第四周：深层神经网络(Deep Neural Networks)]

• 测验题Quiz
• 编程作业题

1. Week1 - [第一周：深度学习的实用层面(Practical aspects of Deep Learning)] - Setting up your Machine Learning Application - Regularizing your neural network - Setting up your optimization problem
2. Week2 - [第二周：优化算法 (Optimization algorithms)]
3. Week3 - [第三周超参数调试，batch正则化和程序框架（Hyperparameter tuning, Batch Normalization and Programming Frameworks)]

• 测验题Quiz
• 编程作业题

1. Week1 - [第一周：机器学习策略（1）(ML Strategy (1))] - Setting up your goal - Comparing to human-level performance
2. Week2 - [第二周：机器学习策略（2）(ML Strategy (2))] - Error Analysis - Mismatched training and dev/test set - Learning from multiple tasks - End-to-end deep learning

• 测验题Quiz
• 编程作业题

1. Week1 - [第一周 卷积神经网络(Foundations of Convolutional Neural Networks)]
2. Week2 - [第二周 深度卷积网络：实例探究(Deep convolutional models: case studies)](
3. Week3 - [第三周 目标检测（Object detection）]
4. Week4 - [第四周 特殊应用：人脸识别和神经风格转换（Special applications: Face recognition &Neural style transfer）]

• 测验题Quiz
• 编程作业题

1. Week1 - [Recurrent Neural Networks]
2. Week2 - [Natural Language Processing & Word Embeddings]
3. Week3 - [Sequence models & Attention mechanism]

• 测验题Quiz
• 编程作业题

├─01神经网络和深度学习
│  ├─Code编程作业
│  └─Quiz测验题
├─02改善深度神经网络
│  ├─Code编程作业
│  └─Quiz测验题
├─03结构化机器学习项目
│  ├─Code编程作业
│  └─Quiz测验题
├─04卷积神经网络
│  ├─Code编程作业
│  └─Quiz测验题
├─05序列模型
│  ├─Code编程作业
│  └─Quiz测验题

• 笔记在线阅读
• http://blog.csdn.net/hdhuangzhihao
• http://blog.csdn.net/justry24/article/category/7159918
• http://blog.csdn.net/koala_tree/article/category/7186915
• http://blog.csdn.net/weixin_37993251
• http://blog.csdn.net/hongbin_xu/article/category/7323091
• http://blog.csdn.net/junjun_zhao【有自己的注解】
• https://blog.csdn.net/u013733326/article/details/79827273 别人汇总的作业博客

持续更新中... ...

• Kulbear/deep-learning-coursera
• greebear/deeplearning.ai-notes
• greebear/deeplearning.ai-notes
• https://github.com/greebear/deeplearning.ai-notes

• 开源是一种精神，MachineLearning_Ng的开源更是人的一种进步
• 开源是自由的，而不是免费的。Free(自由) is not free(免费) 请认真阅读并遵守以下开源协议 License MIT

此外，代码仅作学习深度学习专项课程(Deep Learning Specialization on Coursera)所用，代码和笔记禁止私用，违者必究