投稿

李宏毅机器学习2019(国语)

15.6万

1464

2019-03-17 17:36:32

【李宏毅机器学习2019(国语)】“Machine Learning (Hung-yi Lee, 2019)” by 李宏毅 http://t.cn/Exykrk9 video:http://t.cn/ExykrkC

爱可可-爱生活发消息

新浪微博 @爱可可-爱生活 http://weibo.com/fly51fly

全网用户共享资源全收录，网盘一键搜索，再也不愁找不到资源

免费短剧资源

1万人感兴趣

The Next Step for Machine Learning

15:27

Anomaly Detection (1:7)

13:23

Anomaly Detection (2:7)

14:10

Anomaly Detection (3:7)

14:05

Anomaly Detection (4:7)

04:07

Anomaly Detection (5:7)

12:18

Anomaly Detection (6:7)

12:20

Anomaly Detection (7:7)

06:02

Attack ML Models (1:8)

06:06

Attack ML Models (2:8)

11:43

Attack ML Models (3:8)

07:03

Attack ML Models (4:8)

08:12

Attack ML Models (5:8)

06:38

Attack ML Models (6:8)

09:27

Attack ML Models (7:8)

08:03

Attack ML Models (8:8)

10:11

Explainable ML (1:8)

13:51

Explainable ML (2:8)

14:08

Explainable ML (3:8)

06:08

Explainable ML (4:8)

07:15

Explainable ML (5:8)

08:13

Explainable ML (6:8)

07:27

Explainable ML (7:8)

08:03

Explainable ML (8:8)

07:16

Life Long Learning (1:7)

13:51

Life Long Learning (2:7)

07:25

Life Long Learning (3:7)

12:04

Life Long Learning (4:7)

04:40

Life Long Learning (5:7)

03:19

Life Long Learning (6:7)

14:15

Life Long Learning (7:7)

11:35

Meta Learning - MAML (1:9)

07:41

Meta Learning - MAML (2:9)

07:52

Meta Learning - MAML (3:9)

10:21

Meta Learning - MAML (4:9)

05:14

Meta Learning - MAML (5:9)

13:22

Meta Learning - MAML (6:9)

06:33

Meta Learning - MAML (7:9)

08:54

Meta Learning - MAML (8:9)

05:11

Meta Learning - MAML (9:9)

06:53

Meta Learning - Gradient Descent as LSTM (1:3)

11:40

Meta Learning - Gradient Descent as LSTM (2:3)

10:06

Meta Learning - Gradient Descent as LSTM (3:3)

10:39

Meta Learning – Metric-based (1:3)

10:30

Meta Learning – Metric-based (2:3)

05:15

Meta Learning – Metric-based (3:3)

11:30

Meta Learning - Train+Test as RNN

07:48

More about Auto-encoder (1:4)

13:39

More about Auto-encoder (2:4)

06:11

More about Auto-encoder (3:4)

12:29

More about Auto-encoder (4:4)

14:52

Network Compression (1_6)

08:24

Network Compression (2_6)

12:44

Network Compression (3_6)

08:33

Network Compression (4_6)

06:37

Network Compression (5_6)

11:53

Network Compression (6_6)

13:08

GAN (Quick Review)

38:05

Flow-based Generative Model

01:07:52

Transformer

49:32

ELMO, BERT, GPT

01:04:52

顶部