Deep Learning Programming Exercises
Deep Learning Programming Exercises (Andrew Ng's Course)
This repository contains complete solutions to all programming exercises from Andrew Ng's famous Deep Learning specialization on Coursera.
Key Features
• 🎯 Faithful reproduction: Directory structure exactly matches the original Coursera course
• ✅ Verified solutions: All Jupyter notebooks ending with "Solution" are tested and working
• 📚 Comprehensive coverage: Includes all exercises from:
• Neural Networks and Deep Learning
• Improving Deep Neural Networks
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models
Why This Repository?
• Perfect for reviewing concepts after completing the course
• Great reference implementation when you get stuck
• Helps validate your own solutions against correct implementations
• Saves time on environment setup with ready-to-run notebooks
How to Use
- Clone the repository:
git clone https://github.com/Wuhall/AndrewNg-Deep-Learning.git
- Open Jupyter Notebook and navigate to the specific week's exercise
深度学习编程练习（吴恩达课程）
本仓库包含Coursera上吴恩达深度学习专项课程所有编程练习的完整解答。
主要特点
• 🎯 原版复刻: 目录结构与原版Coursera课程完全一致
• ✅ 已验证解答: 所有以"Solution"结尾的Jupyter笔记本都经过测试
• 📚 全面覆盖: 包含以下所有课程的练习：
• 神经网络与深度学习
• 改善深层神经网络
• 结构化机器学习项目
• 卷积神经网络
• 序列模型
为什么选择这个仓库？
• 课程完成后复习概念的完美资料
• 遇到困难时极佳的参考实现
• 可用来验证自己的解答是否正确
• 提供开箱即用的notebook，节省环境配置时间
使用指南
- 克隆仓库：
git clone https://github.com/Wuhall/AndrewNg-Deep-Learning.git
- 打开Jupyter Notebook并导航到特定周的练习