李宏毅-深度学习Note（目录）

快来打我* 2023-06-01 11:08 3阅读 0赞

#### 李宏毅-深度学习Note ####

视频链接：[机器学习-李宏毅(2019) Machine Learning ][-_2019_ Machine Learning]

参考：[李宏毅 深度学习19（完整版）国语】机器学习 深度学习][_19_]

--------------------

*  目录
 *  P1ML Lecture 0 - Introduction of Machine Learning
 *  P2ML Lecture 1 - Regression - Case Study
 *  P3ML Lecture 1 - Regression - Demo
 *  P4ML Lecture 2 - Where does the error come from
 *  P5ML Lecture 3-1 - Gradient Descent
 *  P6ML Lecture 3-2 - Gradient Descent (Demo by AOE)
 *  P7ML Lecture 3-3 - Gradient Descent (Demo by Minecraft)
 *  P8ML Lecture 4 - Classification
 *  P9ML Lecture 5 - Logistic Regression
 *  P10ML Lecture 6 - Brief Introduction of Deep Learning-Dr
 *  P11ML Lecture 7 - Backpropagation
 *  P12ML Lecture 8-1 - “Hello world” of deep learning
 *  P13ML Lecture 8-2 - Keras 2.0
 *  P14ML Lecture 8-3 - Keras Demo
 *  P15ML Lecture 9-1 - Tips for Training DNN
 *  P16ML Lecture 9-2 - Keras Demo 2
 *  P17ML Lecture 9-3 - Fizz Buzz in Tensorflow (sequel)
 *  P18ML Lecture 10 - Convolutional Neural Network
 *  P19ML Lecture 11 - Why Deep\- P20ML Lecture 12 - Semi-supervised
 *  P21ML Lecture 13 - Unsupervised Learning - Linear Methods
 *  P22ML Lecture 14 - Unsupervised Learning - Word Embedding
 *  P23ML Lecture 15 - Unsupervised Learning - Neighbor Embedding
 *  P24ML Lecture 16 - Unsupervised Learning - Auto-encoder
 *  P25ML Lecture 17 - Unsupervised Learning - Deep Generative Model (Part I)
 *  P26ML Lecture 18 - Unsupervised Learning - Deep Generative Model (Part II)
 *  P27ML Lecture 19 - Transfer Learning
 *  P28ML Lecture 20 - Support Vector Machine (SVM)
 *  P29ML Lecture 21-1 - Recurrent Neural Network (Part I)
 *  P30ML Lecture 21-2 - Recurrent Neural Network (Part II)
 *  P31ML Lecture 22 - Ensemble
 *  P32ML Lecture 23-1 - Deep Reinforcement Learning
 *  P33ML Lecture 23-2 - Policy Gradient (Supplementary Explanation)
 *  P34ML Lecture 23-3 - Reinforcement Learning (including Q-learning)
 *  P35 Structured Learning 1 - Introduction
 *  P36 Structured Learning 2 - Linear Model
 *  P37 Structured Learning 3 - Structured SVM
 *  P38 Structured Learning 4 - Sequence Labeling

--------------------

相关链接：【1】[李宏毅-深度学习Note（Lecture 0-2 Introduction Regression）][-_Note_Lecture 0-2 Introduction Regression]

[-_2019_ Machine Learning]: https://www.bilibili.com/video/av35932863/?p=1
[_19_]: https://www.bilibili.com/video/av48285039?t=525&p=1
[-_Note_Lecture 0-2 Introduction Regression]: https://blog.csdn.net/qq_39564555/article/details/101943960