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【YouTube 搬运】机器学习（李宏毅，台湾大学）

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2018-03-09 13:46:49

https://www.youtube.com/playlist?list=PLJV_el3uVTsPy9oCRY30oBPNLCo89yu49

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ML Lecture 0-1- Introduction of Machine Learning

38:57

ML Lecture 0-2- Why we need to learn machine learning

01:20

ML Lecture 1- Regression - Case Study

01:18:34

ML Lecture 1- Regression - Demo

06:53

ML Lecture 2- Where does the error come from

43:13

ML Lecture 3-1- Gradient Descent

01:01:51

ML Lecture 3-2- Gradient Descent (Demo by AOE)

02:35

ML Lecture 3-3- Gradient Descent (Demo by Minecraft)

01:40

ML Lecture 4- Classification

01:09:40

ML Lecture 5- Logistic Regression

01:07:13

ML Lecture 6- Brief Introduction of Deep Learning

46:29

ML Lecture 7- Backpropagation

31:26

ML Lecture 8-1- “Hello world” of deep learning

29:50

ML Lecture 8-2- Keras 2.0

09:37

ML Lecture 8-3- Keras Demo

11:13

ML Lecture 9-1- Tips for Training DNN

01:26:02

ML Lecture 9-2- Keras Demo 2

15:21

ML Lecture 9-3- Fizz Buzz in Tensorflow (sequel)

06:10

ML Lecture 10- Convolutional Neural Network

01:19:29

ML Lecture 11- Why Deep

57:45

ML Lecture 12- Semi-supervised

59:59

ML Lecture 13- Unsupervised Learning - Linear Methods

01:40:20

ML Lecture 14- Unsupervised Learning - Word Embedding

40:39

ML Lecture 15- Unsupervised Learning - Neighbor Embedding

30:57

ML Lecture 16- Unsupervised Learning - Auto-encoder

42:03

ML Lecture 17- Unsupervised Learning - Deep Generative Model (Part I)

29:34

ML Lecture 18- Unsupervised Learning - Deep Generative Model (Part II)

01:03:31

ML Lecture 19- Transfer Learning

01:14:28

ML Lecture 20- Support Vector Machine (SVM)

01:05:26

ML Lecture 21- Structured Learning - Introduction

19:32

ML Lecture 22- Structured Learning - Linear Model

24:15

ML Lecture 23- Structured Learning - Structured SVM

02:11:44

ML Lecture 24- Structured Learning - Sequence Labeling

01:43:31

ML Lecture 25- Recurrent Neural Network (Part I)

48:59

ML Lecture 26- Recurrent Neural Network (Part II)

01:30:49

ML Lecture 27- Ensemble

01:39:59

ML Lecture 28-1- Deep Reinforcement Learning

01:06:21

ML Lecture 28-2- Policy Gradient (Supplementary Explanation)

13:19

ML Lecture 28-3- Reinforcement Learning (including Q-learning)

01:05:33

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