# Deep-Learning
**Repository Path**: Gengzhige/Deep-Learning
## Basic Information
- **Project Name**: Deep-Learning
- **Description**: 《趣味深度学习公开课》配套代码
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 7
- **Forks**: 7
- **Created**: 2022-12-26
- **Last Updated**: 2025-07-28
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# 《趣味深度学习公开课》 开讲啦！
欢迎大家来到深度学习的世界，我是梗直哥，从今天起《**趣味深度学习公开课**》的专栏正式**开始更新**。在这门课程中，你将能够系统的学习深度学习各方面的知识。如果你对人工智能感兴趣，却苦于入门无路，对复杂的数学或者编程望而生畏的话，那么这门课就是你的菜了。欢迎加个**关注**，跟着梗直哥开启深度学习的旅程吧！
## 专栏更新计划
课程目录在下方（后续更新过程中内容或有增改），计划每天更新一节。希望小伙伴多多点赞支持！
学习过程中遇到问题，欢迎**Issues**留言交流。**学习交流群V：gengzhige99**
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## 专栏目录
### [Chapter-01 欢迎来到深度学习的世界](./Chapter-01%20欢迎来到深度学习的世界)
- [x] 1-1 [为什么要学机器学习](./Chapter-01%20欢迎来到深度学习的世界/1-1%20欢迎来到深度学习的世界.ipynb)
- [x] 1-2 [机器是怎么学习的](./Chapter-01%20欢迎来到深度学习的世界/1-2%20机器是怎么学习的.ipynb)
- [x] 1-3 [机器学习解决哪些问题](./Chapter-01%20欢迎来到深度学习的世界/1-3%20机器学习解决哪些问题.ipynb)
- [x] 1-4 [机器学习和深度学习怎么选](./Chapter-01%20欢迎来到深度学习的世界/1-4%20机器学习和深度学习怎么选.ipynb)
- [x] 1-5 [深度学习的发展历程](./Chapter-01%20欢迎来到深度学习的世界/1-5%20深度学习的发展历程.ipynb)
- [x] 1-6 [深度学习的典型应用](./Chapter-01%20欢迎来到深度学习的世界/1-6%20深度学习的典型应用.ipynb)
- [x] 1-7 [深度学习路线图](./Chapter-01%20欢迎来到深度学习的世界/1-7%20深度学习路线图.ipynb)
- [x] 1-8 [本门课程的主要特点](./Chapter-01%20欢迎来到深度学习的世界/1-8%20本门课程的主要特点.ipynb)
- [x] 1-9 [本章小结](./Chapter-01%20欢迎来到深度学习的世界/1-9%20本章小结.ipynb)
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### Chapter-02 数学知识回顾
- [x] 2-1 [线性代数](./Chapter-02%20%E6%95%B0%E5%AD%A6%E7%9F%A5%E8%AF%86%E5%9B%9E%E9%A1%BE/2-1%20%E7%BA%BF%E6%80%A7%E4%BB%A3%E6%95%B0.ipynb)
- [x] 2-2 [微积分](./Chapter-02%20%E6%95%B0%E5%AD%A6%E7%9F%A5%E8%AF%86%E5%9B%9E%E9%A1%BE/2-2%20%E5%BE%AE%E7%A7%AF%E5%88%86.ipynb)
- [x] 2-3 [概率](./Chapter-02%20%E6%95%B0%E5%AD%A6%E7%9F%A5%E8%AF%86%E5%9B%9E%E9%A1%BE/2-3%20%E6%A6%82%E7%8E%87.ipynb)
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### Chapter-03 环境安装和工具使用
- [x] 3-1 [CUDA+Anaconda深度学习环境配置](./Chapter-03%20%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85%E5%92%8C%E5%B7%A5%E5%85%B7%E4%BD%BF%E7%94%A8/3-1%20%5BCUDA%2BAnaconda%5D%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE.ipynb)
- [x] 3-2 [conda实用命令](./Chapter-03%20%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85%E5%92%8C%E5%B7%A5%E5%85%B7%E4%BD%BF%E7%94%A8/3-2%20conda%E5%AE%9E%E7%94%A8%E5%91%BD%E4%BB%A4.ipynb)
- [x] 3-3 [Jupyter Notebook快速上手](./Chapter-03%20%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85%E5%92%8C%E5%B7%A5%E5%85%B7%E4%BD%BF%E7%94%A8/3-3%20%5BJupyter%20Notebook%5D%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B.ipynb)
- [x] 3-4 [深度学习库Pytorch安装](./Chapter-03%20%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85%E5%92%8C%E5%B7%A5%E5%85%B7%E4%BD%BF%E7%94%A8/3-4%20%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%BA%93Pytorch%E5%AE%89%E8%A3%85.ipynb)
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### Chapter-04 浅层神经网络
- [x] 4-1 [从线性模型讲起](./Chapter-04%20%E6%B5%85%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/4-1%20%E4%BB%8E%E7%BA%BF%E6%80%A7%E6%A8%A1%E5%9E%8B%E8%AE%B2%E8%B5%B7.ipynb)
- [x] 4-2 [神经网络基本原理](./Chapter-04%20%E6%B5%85%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/4-2%20%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E6%9C%AC%E5%8E%9F%E7%90%86.ipynb)
- [x] 4-3 [分类问题](./Chapter-04%20%E6%B5%85%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/4-3%20%E5%88%86%E7%B1%BB%E9%97%AE%E9%A2%98.ipynb)
- [x] 4-4 [线性回归代码实现](./Chapter-04%20%E6%B5%85%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/4-4%20%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0.ipynb)
- [x] 4-5 [多分类问题代码实现](./Chapter-04%20%E6%B5%85%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/4-5%20%E5%A4%9A%E5%88%86%E7%B1%BB%E9%97%AE%E9%A2%98%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0.ipynb)
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### Chapter-05 深层神经网络
- [x] 5-1 [多层感知机](./Chapter-05%20%E6%B7%B1%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/5-1%20%E5%A4%9A%E5%B1%82%E6%84%9F%E7%9F%A5%E6%9C%BA.ipynb)
- [x] 5-2 [多层感知机代码实现](./Chapter-05%20%E6%B7%B1%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/5-2%20%E5%A4%9A%E5%B1%82%E6%84%9F%E7%9F%A5%E6%9C%BA%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0.ipynb)
- [x] 5-3 [前向传播和反向传播](./Chapter-05%20%E6%B7%B1%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/5-3%20%E5%89%8D%E5%90%91%E4%BC%A0%E6%92%AD%E5%92%8C%E5%8F%8D%E5%90%91%E4%BC%A0%E6%92%AD.ipynb)
- [x] 5-4 [常见问题及对策](./Chapter-05%20%E6%B7%B1%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/5-4%20%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98%E5%8F%8A%E5%AF%B9%E7%AD%96.ipynb)
- [x] 5-5 [正则化](./Chapter-05%20%E6%B7%B1%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/5-5%20%E6%AD%A3%E5%88%99%E5%8C%96.ipynb)
- [x] 5-6 [Dropout](./Chapter-05%20%E6%B7%B1%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/5-6%20Dropout.ipynb)
- [x] 5-7 [梯度消失和梯度爆炸](./Chapter-05%20%E6%B7%B1%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/5-7%20%E6%A2%AF%E5%BA%A6%E6%B6%88%E5%A4%B1%E5%92%8C%E6%A2%AF%E5%BA%A6%E7%88%86%E7%82%B8.ipynb)
- [x] 5-8 [模型文件的读写](./Chapter-05%20%E6%B7%B1%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/5-8%20%E6%A8%A1%E5%9E%8B%E6%96%87%E4%BB%B6%E7%9A%84%E8%AF%BB%E5%86%99.ipynb)
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### Chapter-06 梯度下降算法及其变体
- [x] 6-0 [本章概述](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-0%20%E6%9C%AC%E7%AB%A0%E6%A6%82%E8%BF%B0.ipynb)
- [x] 6-1 [最优化理论](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-1%20%E6%9C%80%E4%BC%98%E5%8C%96%E7%90%86%E8%AE%BA%E5%92%8C%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0.ipynb)
- [x] 6-2 [损失函数性质](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-2%20%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0%E6%80%A7%E8%B4%A8.ipynb)
- [x] 6-3 [梯度下降](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-3%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D.ipynb)
- [x] 6-4 [随机梯度下降](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-4%20%E9%9A%8F%E6%9C%BA%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%B3%95.ipynb)
- [x] 6-5 [小批量随机梯度下降](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-5%20%E5%B0%8F%E6%89%B9%E9%87%8F%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%B3%95.ipynb)
- [x] 6-6 [动量法](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-6%20%E5%8A%A8%E9%87%8F%E6%B3%95.ipynb)
- [x] 6-7 [AdaGrad算法](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-7%20AdaGrad%E7%AE%97%E6%B3%95.ipynb)
- [x] 6-8 [RMSProp算法](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-8%20RMSProp%E7%AE%97%E6%B3%95.ipynb)
- [x] 6-9 [Adadelta](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-9%20Adadelta%E7%AE%97%E6%B3%95.ipynb)
- [x] 6-10 [Adam算法](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-10%20Adam%E7%AE%97%E6%B3%95.ipynb)
- [x] 6-11 [学习率调度器](./Chapter-06%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E7%AE%97%E6%B3%95%E5%8F%8A%E5%85%B6%E5%8F%98%E4%BD%93/6-11%20%E5%AD%A6%E4%B9%A0%E7%8E%87%E8%B0%83%E8%8A%82%E5%99%A8.ipynb)
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### Chapter-07 卷积神经网络
- [x] 7-0 [本章概述](./Chapter-07%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/7-0%20%E6%9C%AC%E7%AB%A0%E6%A6%82%E8%BF%B0.ipynb)
- [x] 7-1 [卷积层](./Chapter-07%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/7-1%20%E5%8D%B7%E7%A7%AF%E5%B1%82.ipynb)
- [x] 7-2 [图像卷积](./Chapter-07%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/7-2%20%E5%9B%BE%E5%83%8F%E5%8D%B7%E7%A7%AF.ipynb)
- [x] 7-3 [常用操作](./Chapter-07%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/7-3%20%E5%B8%B8%E7%94%A8%E6%93%8D%E4%BD%9C.ipynb)
- [x] 7-4 [池化层](./Chapter-07%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/7-4%20%E6%B1%A0%E5%8C%96%E5%B1%82.ipynb)
- [x] 7-5 [卷积神经网络](./Chapter-07%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/7-5%20%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.ipynb)
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### Chapter-08 复杂卷积神经网络
- [x] 8-0 [本章概述](./Chapter-08%20%E5%A4%8D%E6%9D%82%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/8.0%20%E6%9C%AC%E7%AB%A0%E6%A6%82%E8%BF%B0.ipynb)
- [x] 8-1 [AlexNet](./Chapter-08%20%E5%A4%8D%E6%9D%82%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/8.1%20AlexNet.ipynb)
- [x] 8-2 [VGGNet](./Chapter-08%20%E5%A4%8D%E6%9D%82%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/8.2%20VGGNet.ipynb)
- [x] 8-3 [批量规范化](./Chapter-08%20%E5%A4%8D%E6%9D%82%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/8.3%20%E6%89%B9%E9%87%8F%E6%A0%87%E5%87%86%E5%8C%96.ipynb)
- [x] 8-4 [GoogLeNet](./Chapter-08%20%E5%A4%8D%E6%9D%82%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/8.4%20GoogLeNet.ipynb)
- [x] 8-5 [ResNet](./Chapter-08%20%E5%A4%8D%E6%9D%82%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/8.5%20ResNet.ipynb)
- [x] 8-6 [DenseNet](./Chapter-08%20%E5%A4%8D%E6%9D%82%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/8.6%20DenseNet.ipynb)
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### Chapter-09 循环神经网络
- [x] 9-0 [本章概述](./Chapter-09%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/9.0%20%E6%9C%AC%E7%AB%A0%E6%A6%82%E8%BF%B0.ipynb)
- [x] 9-1 [序列建模](./Chapter-09%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/9.1%20%E5%BA%8F%E5%88%97%E5%BB%BA%E6%A8%A1.ipynb)
- [x] 9-2 [文本数据预处理](./Chapter-09%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/9.2%20%E6%96%87%E6%9C%AC%E6%95%B0%E6%8D%AE%E9%A2%84%E5%A4%84%E7%90%86.ipynb)
- [x] 9-3 [语言模型](./Chapter-09%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/9.3%20%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B.ipynb)
- [x] 9-4 [统计分析和数据集构造](./Chapter-09%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/9.4%20%E7%BB%9F%E8%AE%A1%E5%88%86%E6%9E%90%E5%92%8C%E6%95%B0%E6%8D%AE%E9%9B%86%E6%9E%84%E9%80%A0.ipynb)
- [x] 9-5 [循环神经网络](./Chapter-09%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/9.5%20%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.ipynb)
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### Chapter-10 复杂循环神经网络
……
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### Chapter-11 注意力机制
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