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课程目录
学员 13、6: Brief Introduction of Deep Learning
00:00学员 12、HW2 - Winner or Loser
00:00学员 11、5: Logistic Regression
00:00学员 10、4: Classification
00:00学员 9、HW1 – PM2.5 Prediction
00:00学员 7、3-2- Gradient Descent (Demo by AOE)
00:00学员 8、3-3- Gradient Descent (Demo by Minecraft)
00:00学员 6、3-1: Gradient Descent
00:00学员 5、2: Where does the error come from?
43:13学员 4、1- Regression - Demo - YouTube (HD)
06:52学员 3、1: Regression - Case Study
01:25:54学员 1、0-1: Introduction of Machine Learning
38:56学员 2、0-2: Why we need to learn machine learning?
01:19学员 14、7: Backpropagation
00:00学员 15、8-1: “Hello world” of deep learning
00:00学员 16、8-2- Keras 2.0
09:36学员 17、8-3- Keras Demo
11:13学员 18、9-1: Tips for Training DNN
01:22:34学员 19、9-2- Keras Demo 2
15:20学员 20、9-3- Fizz Buzz in Tensorflow (sequel)
06:09学员 21、10: Convolutional Neural Network
01:23:23学员 22、11: Why Deep?
57:45学员 23、12: Semi-supervised
59:59学员 24、13: Unsupervised Learning - Linear Methods
01:40:19学员 25、14: Unsupervised Learning - Word Embedding
42:09学员 26、15: Unsupervised Learning - Neighbor Embedding
30:28学员 27、16: Unsupervised Learning - Auto-encoder
36:51学员 28、17- Unsupervised Learning - Deep Generative Model (Part I)
29:33学员 29、18- Unsupervised Learning - Deep Generative Model (Part II)
01:03:30学员 30、19: Transfer Learning
01:11:23学员 31、20- Support Vector Machine (SVM)
01:05:26学员 32、21- Structured Learning - Introduction
19:32学员 33、22- Structured Learning - Linear Model
24:14学员 34、23- Structured Learning - Structured SVM
02:11:43学员 35、24- Structured Learning - Sequence Labeling
01:43:30学员 36、25: Recurrent Neural Network (Part I)
48:59学员 37、26: Recurrent Neural Network (Part II)
01:30:48学员 38、27: Ensemble
01:39:58学员 39、28- Deep Reinforcement Learning - Scratching the surface
01:06:21