https://github.com/hypnosnova/ai
对吴恩达的深度学习课进行整理
https://github.com/hypnosnova/ai
ai deep-learning machine-learning makedown neural-network notes
Last synced: 4 months ago
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对吴恩达的深度学习课进行整理
- Host: GitHub
- URL: https://github.com/hypnosnova/ai
- Owner: HypnosNova
- License: mit
- Created: 2017-09-06T02:13:50.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2017-09-18T14:12:44.000Z (almost 9 years ago)
- Last Synced: 2025-02-26T01:32:11.937Z (over 1 year ago)
- Topics: ai, deep-learning, machine-learning, makedown, neural-network, notes
- Language: HTML
- Homepage:
- Size: 365 KB
- Stars: 10
- Watchers: 2
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## 本资源为对吴恩达在网易云课堂的AI课程的记录和理解
### 导航
#### 第一章
[1.1 什么是神经网络](https://github.com/HypnosNova/AI/blob/master/md/chapter%201.1%20%E4%BB%80%E4%B9%88%E6%98%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.md)
[1.2 用神经网络进行监督学习](https://github.com/HypnosNova/AI/blob/master/md/chapter%201.2%20%E7%94%A8%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E8%BF%9B%E8%A1%8C%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0.md)
[1.3 神经网络为何兴起](https://github.com/HypnosNova/AI/blob/master/md/chapter%201.3%20.%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E4%B8%BA%E4%BD%95%E5%85%B4%E8%B5%B7.md)
#### 第二章
[2.1 二分分类](https://github.com/HypnosNova/AI/blob/master/md/chapter%202.1%20%E4%BA%8C%E5%88%86%E5%88%86%E7%B1%BB.md)
### 符号约定
$m$ ：训练集的规模，即训练样本的数量
$n_x$ ：特征向量x的维度
$(x,y)$ ：一个单独的样本
$(x^{(i)},y^{(i)})$ ：在m中第i个样本，m可以表示为{$(x^{(1)},y^{(1)}),(x^{(2)},y^{(2)}),(x^{(3)},y^{(3)}),...(x^{(m)},y^{(m)})$}
$m_{train}$ : 训练集
$m_{test}$ : 测试集
$X=[x^{(1)},x^{(2)},x^{(3)},...,x^{(m)}]$ ：一个$n_x*m$ 的矩阵
### 关键词中英对照
机器学习：machine learning
深度学习：deep learning
神经网络：neural network
神经元：neuron
训练集：training set
监督学习：supervised learning
特征：feature特征：feature
支持向量机：support vector machine