网易首页
20. Lecture 7_ Constraints_ Interpreting Line Drawings - 2
2年前 1362观看
人工智能
大学课程 / 计算机
itunes 人工智能是计算机科学的一个分支,它企图了解智能的实质,并生产出一种新的能以人类智能相似的方式做出反应的智能机器,该领域的研究包括机器人、语言识别、图像识别、自然语言处理和专家系统等。
共87集
17.1万人观看
1
Lecture 1_ Introduction and Scope - 1
15:48
2
Lecture 1_ Introduction and Scope - 2
15:56
3
Lecture 1_ Introduction and Scope - 3
15:45
4
Lecture 2_ Reasoning_ Goal Trees and Problem Solving - 1
15:21
5
Lecture 2_ Reasoning_ Goal Trees and Problem Solving - 2
15:30
6
Lecture 2_ Reasoning_ Goal Trees and Problem Solving - 3
15:21
7
Lecture 3_ Reasoning_ Goal Trees and Rule-Based Expert Systems - 1
16:40
8
Lecture 3_ Reasoning_ Goal Trees and Rule-Based Expert Systems - 2
16:48
9
Lecture 3_ Reasoning_ Goal Trees and Rule-Based Expert Systems - 3
16:34
10
Lecture 4_ Search_ Depth-First, Hill Climbing, Beam - 1
16:15
11
Lecture 4_ Search_ Depth-First, Hill Climbing, Beam - 2
16:22
12
Lecture 4_ Search_ Depth-First, Hill Climbing, Beam - 3
16:09
13
Lecture 5_ Search_ Optimal, Branch and Bound, A_ - 1
16:14
14
Lecture 5_ Search_ Optimal, Branch and Bound, A_ - 2
16:15
15
Lecture 5_ Search_ Optimal, Branch and Bound, A_ - 3
16:12
16
Lecture 6_ Search_ Games, Minimax, and Alpha-Beta - 1
16:07
17
Lecture 6_ Search_ Games, Minimax, and Alpha-Beta - 2
16:11
18
Lecture 6_ Search_ Games, Minimax, and Alpha-Beta - 3
16:00
19
Lecture 7_ Constraints_ Interpreting Line Drawings - 1
16:26
20
Lecture 7_ Constraints_ Interpreting Line Drawings - 2
16:34
21
Lecture 7_ Constraints_ Interpreting Line Drawings - 3
16:24
22
Lecture 8_ Constraints_ Search, Domain Reduction - 1
15:10
23
Lecture 8_ Constraints_ Search, Domain Reduction - 2
15:17
24
Lecture 8_ Constraints_ Search, Domain Reduction - 3
15:02
25
Lecture 9_ Constraints_ Visual Object Recognition - 1
17:12
26
Lecture 9_ Constraints_ Visual Object Recognition - 2
17:20
27
Lecture 9_ Constraints_ Visual Object Recognition - 3
17:08
28
Lecture 10_ Introduction to Learning, Nearest Neighbors - 1
16:40
29
Lecture 10_ Introduction to Learning, Nearest Neighbors - 2
16:44
30
Lecture 10_ Introduction to Learning, Nearest Neighbors - 3
16:39
31
Lecture 11_ Learning_ Identification Trees, Disorder - 1
16:34
32
Lecture 11_ Learning_ Identification Trees, Disorder - 2
16:43
33
Lecture 11_ Learning_ Identification Trees, Disorder - 3
16:30
34
Lecture 12_ Learning_ Neural Nets, Back Propagation - 1
16:00
35
Lecture 12_ Learning_ Neural Nets, Back Propagation - 2
16:05
36
Lecture 12_ Learning_ Neural Nets, Back Propagation - 3
15:56
37
Lecture 13_ Learning_ Genetic Algorithms - 1
15:47
38
Lecture 13_ Learning_ Genetic Algorithms - 2
15:51
39
Lecture 13_ Learning_ Genetic Algorithms - 3
15:45
40
Lecture 14_ Learning_ Sparse Spaces, Phonology - 1
15:58
41
Lecture 14_ Learning_ Sparse Spaces, Phonology - 2
16:05
42
Lecture 14_ Learning_ Sparse Spaces, Phonology - 3
15:53
43
Lecture 15_ Learning_ Near Misses, Felicity Conditions - 1
15:39
44
Lecture 15_ Learning_ Near Misses, Felicity Conditions - 2
15:47
45
Lecture 15_ Learning_ Near Misses, Felicity Conditions - 3
15:40
46
Lecture 16_ Learning_ Support Vector Machines - 1
16:33
47
Lecture 16_ Learning_ Support Vector Machines - 2
16:40
48
Lecture 16_ Learning_ Support Vector Machines - 3
16:33
49
Lecture 17_ Learning_ Boosting - 1
17:15
50
Lecture 17_ Learning_ Boosting - 2
17:21
51
Lecture 17_ Learning_ Boosting - 3
17:13
52
Lecture 18_ Representations_ Classes, Trajectories, Transitions - 1
16:22
53
Lecture 18_ Representations_ Classes, Trajectories, Transitions - 2
16:26
54
Lecture 18_ Representations_ Classes, Trajectories, Transitions - 3
16:17
55
Lecture 19_ Architectures_ GPS, SOAR, Subsumption, Society of Mind - 1
16:24
56
Lecture 19_ Architectures_ GPS, SOAR, Subsumption, Society of Mind - 2
16:28
57
Lecture 19_ Architectures_ GPS, SOAR, Subsumption, Society of Mind - 3
16:22
58
Lecture 21_ Probabilistic Inference I - 1
16:11
59
Lecture 21_ Probabilistic Inference I - 2
16:12
60
Lecture 21_ Probabilistic Inference I - 3
16:06
61
Lecture 22_ Probabilistic Inference II - 1
16:17
62
Lecture 22_ Probabilistic Inference II - 2
16:24
63
Lecture 22_ Probabilistic Inference II - 3
16:13
64
Lecture 23_ Model Merging, Cross-Modal Coupling, Course Summary - 1
16:32
65
Lecture 23_ Model Merging, Cross-Modal Coupling, Course Summary - 2
16:38
66
Lecture 23_ Model Merging, Cross-Modal Coupling, Course Summary - 3
16:24
67
Mega-Recitation 1_ Rule-Based Systems - 1
15:42
68
Mega-Recitation 1_ Rule-Based Systems - 2
15:46
69
Mega-Recitation 1_ Rule-Based Systems - 3
15:42
70
Mega-Recitation 2_ Basic Search, Optimal Search - 1
17:21
71
Mega-Recitation 2_ Basic Search, Optimal Search - 2
17:23
72
Mega-Recitation 2_ Basic Search, Optimal Search - 3
17:17
73
Mega-Recitation 3_ Games, Minimax, Alpha-Beta - 1
17:01
74
Mega-Recitation 3_ Games, Minimax, Alpha-Beta - 2
17:02
75
Mega-Recitation 3_ Games, Minimax, Alpha-Beta - 3
16:56
76
Mega-Recitation 4_ Neural Nets - 1
17:35
77
Mega-Recitation 4_ Neural Nets - 2
17:37
78
Mega-Recitation 4_ Neural Nets - 3
17:32
79
Mega-Recitation 5_ Support Vector Machines - 1
16:40
80
Mega-Recitation 5_ Support Vector Machines - 2
16:41
81
Mega-Recitation 5_ Support Vector Machines - 3
16:39
82
Mega-Recitation 6_ Boosting - 1
16:41
83
Mega-Recitation 6_ Boosting - 2
16:44
84
Mega-Recitation 6_ Boosting - 3
16:41
85
Mega-Recitation 7_ Near Misses, Arch Learning - 1
11:04
86
Mega-Recitation 7_ Near Misses, Arch Learning - 2
11:06
87
Mega-Recitation 7_ Near Misses, Arch Learning - 3
10:59
相关视频
04:23
君子生于小国,非君子之过也
轻知识
1年前
4030观看
03:13
孔子有句名言:“君子周而不比,小人比而不周”,周和比啥意思?
轻知识
1年前
4367观看
01:40
猜字谜,一人在山边,人人说是仙,是仙又不是仙,孔子猜三年啊
轻知识
1年前
2139观看
01:34
“述而不作,信而好古”,是孔子谦虚了吗?
轻知识
1年前
4884观看
03:27
为什么说《孟子》是观其发越呢?
轻知识
1年前
6147观看
04:28
孟子是如何理解“不孝”二字的?
轻知识
1年前
2312观看
00:20
荀子还在想善恶呢,孟子已经想到物种上了 (cr
轻知识
11月前
1949观看
05:35
孟子究竟牛在哪儿?
轻知识
1年前
4261观看
04:09
为什么“民”这个字在《孟子》中出现了209次?
轻知识
1年前
5968观看
03:46
孟子为什么说言不必信,行不必果?
轻知识
1年前
1398观看
04:03
“男女授受不亲”,后半句才是重点,别再误会孟子了!
轻知识
2月前
3054观看
05:30
兼爱 非攻 到底是什么意思呢,墨子 - 3
轻知识
1年前
6554观看
03:53
《中庸》的五达道说的是什么?
轻知识
1年前
1650观看
04:12
第4集 韩非子-存韩
轻知识
1年前
6106观看
01:51
孔子:有子路这样的学生是我的福气
6月前
1520观看
03:31
“桃李满天下”最初夸的谁?第一反应是孔子?那你就错了!
轻知识
11月前
1044观看