「李宏毅机器学习」学习笔记传送门
李宏毅老师讲课浅显易懂,是初学者学习机器学习课程的不二之选。
让我们以AI训练大师为目标,一直进行修炼吧!
导航
李宏毅老师课程主页。
笔记传送门如下:
- Introduction of Machine Learning
- Regression
- Where does the error come from?
- Gradient Descent
- Classification:Probabilistic Generative Model
- Logistic Regression
- Brief Introduction of Deep Learning
- Backpropagation
- “Hello world” of deep learning
- Tips for Training DNN
- Convolutional Neural Network
- Why Deep?
- Semi-supervised
- Unsupervised Learning - Linear Methods
- Unsupervised Learning - Word Embedding
- Unsupervised Learning - Neighbor Embedding
- Unsupervised Learning - Deep Auto-encoder
- Unsupervised Learning - Deep Generative Model (Part I)
- Unsupervised Learning - Deep Generative Model (Part II)
- Transfer Learning
- Support Vector Machine (SVM)
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- 本文链接:https://blueschang.github.io/2018/10/29/李宏毅机器学习-笔记传送门/
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