投稿

Machine Learning-李宏毅教授最新版（2017，fall)

1512

1

2019-02-09 12:42:47

https://www.youtube.com/playlist?list=PLJV_el3uVTsPy9oCRY30oBPNLCo89yu49 机器学习入门教程，可反复看，每一次都能学到新东西，建议倍速看这样可以防止瞌睡，大脑运转快。

野生技术协会

MACHINELEARNING

MrDNA2017 发消息

职场找行业文档，网盘全网搜索全网分享资源，省时高效

免费短剧资源

1000+人感兴趣

ML Lecture 0-1 - Introduction of Machine Learning-CXgbekl66jc

38:57

ML Lecture 1 - Regression - Case Study-fegAeph9UaA

01:18:35

ML Lecture 1 - Regression - Demo-1UqCjFQiiy0

06:53

ML Lecture 2 - Where does the error come from-D_S6y0Jm6dQ

43:14

ML Lecture 3-1 - Gradient Descent-yKKNr-QKz2Q

01:01:52

ML Lecture 3-2 - Gradient Descent (Demo by AOE)-1_HBTJyWgNA

02:36

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

01:41

ML Lecture 4 - Classification-fZAZUYEeIMg

01:09:41

ML Lecture 5 - Logistic Regression-hSXFuypLukA

01:07:13

ML Lecture 6 - Brief Introduction of Deep Learning-Dr-WRlEFefw

46:30

ML Lecture 7 - Backpropagation-ibJpTrp5mcE

31:26

ML Lecture 8-1 - “Hello world” of deep learning-Lx3l4lOrquw

29:51

ML Lecture 8-2 - Keras 2.0-5BJDJd-dzzg

09:37

ML Lecture 8-3 - Keras Demo-L8unuZNpWw8

11:14

ML Lecture 9-1 - Tips for Training DNN-xki61j7z-30

01:26:02

ML Lecture 9-2 - Keras Demo 2-Ky1ku1miDow

15:21

ML Lecture 9-3 - Fizz Buzz in Tensorflow (sequel)-F1vek6ULo9w

06:10

ML Lecture 10 - Convolutional Neural Network-FrKWiRv254g

01:19:29

ML Lecture 11 - Why Deep-XsC9byQkUH8

57:46

ML Lecture 12 - Semi-supervised-fX_guE7JNnY

59:59

ML Lecture 13 - Unsupervised Learning - Linear Methods-iwh5o_M4BNU

01:40:20

ML Lecture 14 - Unsupervised Learning - Word Embedding-X7PH3NuYW0Q

40:39

ML Lecture 15 - Unsupervised Learning - Neighbor Embedding-GBUEjkpoxXc

30:58

ML Lecture 16 - Unsupervised Learning - Auto-encoder-Tk5B4seA-AU

42:04

ML Lecture 17 - Unsupervised Learning - Deep Generative Model (Part I)-YNUek8ioA

29:34

ML Lecture 18 - Unsupervised Learning - Deep Generative Model (Part II)-8zomhgKr

01:03:31

ML Lecture 19 - Transfer Learning-qD6iD4TFsdQ

01:14:28

ML Lecture 20 - Support Vector Machine (SVM)-QSEPStBgwRQ

01:05:27

ML Lecture 21-1 - Recurrent Neural Network (Part I)-xCGidAeyS4M

49:00

ML Lecture 21-2 - Recurrent Neural Network (Part II)-rTqmWlnwz_0

01:30:50

ML Lecture 22 - Ensemble-tH9FH1DH5n0

01:39:59

ML Lecture 23-1 - Deep Reinforcement Learning-W8XF3ME8G2I

01:06:22

ML Lecture 23-2 - Policy Gradient (Supplementary Explanation)-y8UPGr36ccI

13:20

ML Lecture 23-3 - Reinforcement Learning (including Q-learning)-2-JNBzCq77c

01:05:34

顶部