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人工智能
本课程共87集 翻译完 欢迎学习

课程介绍: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。

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课程列表
【第1集】Lecture 1_ Introduction and Scope(上)
【第2集】Lecture 1_ Introduction and Scope(中)
【第3集】Lecture 1_ Introduction and Scope(下)
【第4集】Lecture 2_ Reasoning_ Goal Trees and Problem Solving(上)
【第5集】Lecture 2_ Reasoning_ Goal Trees and Problem Solving(中)
【第6集】Lecture 2_ Reasoning_ Goal Trees and Problem Solving(下)
【第7集】Lecture 3_ Reasoning_ Goal Trees and Rule-Based Expert Systems(上)
【第8集】Lecture 3_ Reasoning_ Goal Trees and Rule-Based Expert Systems(中)
【第9集】Lecture 3_ Reasoning_ Goal Trees and Rule-Based Expert Systems(下)
【第10集】Lecture 4_ Search_ Depth-First, Hill Climbing, Beam(上)
【第11集】Lecture 4_ Search_ Depth-First, Hill Climbing, Beam(中)
【第12集】Lecture 4_ Search_ Depth-First, Hill Climbing, Beam(下)
【第13集】Lecture 5_ Search_ Optimal, Branch and Bound, A_(上)
【第14集】Lecture 5_ Search_ Optimal, Branch and Bound, A_(中)
【第15集】Lecture 5_ Search_ Optimal, Branch and Bound, A_(下)
【第16集】Lecture 6_ Search_ Games, Minimax, and Alpha-Beta(上)
【第17集】Lecture 6_ Search_ Games, Minimax, and Alpha-Beta(中)
【第18集】Lecture 6_ Search_ Games, Minimax, and Alpha-Beta(下)
【第19集】Lecture 7_ Constraints_ Interpreting Line Drawings(上)
【第20集】Lecture 7_ Constraints_ Interpreting Line Drawings(中)
【第21集】Lecture 7_ Constraints_ Interpreting Line Drawings(下)
【第22集】Lecture 8_ Constraints_ Search, Domain Reduction(上)
【第23集】Lecture 8_ Constraints_ Search, Domain Reduction(中)
【第24集】Lecture 8_ Constraints_ Search, Domain Reduction(下)
【第25集】Lecture 9_ Constraints_ Visual Object Recognition(上)
【第26集】Lecture 9_ Constraints_ Visual Object Recognition(中)
【第27集】Lecture 9_ Constraints_ Visual Object Recognition(下)
【第28集】Lecture 10_ Introduction to Learning, Nearest Neighbors(上)
【第29集】Lecture 10_ Introduction to Learning, Nearest Neighbors(中)
【第30集】Lecture 10_ Introduction to Learning, Nearest Neighbors(下)
【第31集】Lecture 11_ Learning_ Identification Trees, Disorder(上)
【第32集】Lecture 11_ Learning_ Identification Trees, Disorder(中)
【第33集】Lecture 11_ Learning_ Identification Trees, Disorder(下)
【第34集】Lecture 12_ Learning_ Neural Nets, Back Propagation(上)
【第35集】Lecture 12_ Learning_ Neural Nets, Back Propagation(中)
【第36集】Lecture 12_ Learning_ Neural Nets, Back Propagation(下)
【第37集】Lecture 13_ Learning_ Genetic Algorithms(上)
【第38集】Lecture 13_ Learning_ Genetic Algorithms(中)
【第39集】Lecture 13_ Learning_ Genetic Algorithms(下)
【第40集】Lecture 14_ Learning_ Sparse Spaces, Phonology(上)
【第41集】Lecture 14_ Learning_ Sparse Spaces, Phonology(中)
【第42集】Lecture 14_ Learning_ Sparse Spaces, Phonology(下)
【第43集】Lecture 15_ Learning_ Near Misses, Felicity Conditions(上)
【第44集】Lecture 15_ Learning_ Near Misses, Felicity Conditions(中)
【第45集】Lecture 15_ Learning_ Near Misses, Felicity Conditions(下)
【第46集】Lecture 16_ Learning_ Support Vector Machines(上)
【第47集】Lecture 16_ Learning_ Support Vector Machines(中)
【第48集】Lecture 16_ Learning_ Support Vector Machines(下)
【第49集】Lecture 17_ Learning_ Boosting(上)
【第50集】Lecture 17_ Learning_ Boosting(中)
【第51集】Lecture 17_ Learning_ Boosting(下)
【第52集】Lecture 18_ Representations_ Classes, Trajectories, Transitions(上)
【第53集】Lecture 18_ Representations_ Classes, Trajectories, Transitions(中)
【第54集】Lecture 18_ Representations_ Classes, Trajectories, Transitions(下)
【第55集】Lecture 19_ Architectures_ GPS, SOAR, Subsumption, Society of Mind(上)
【第56集】Lecture 19_ Architectures_ GPS, SOAR, Subsumption, Society of Mind(中)
【第57集】Lecture 19_ Architectures_ GPS, SOAR, Subsumption, Society of Mind(下)
【第58集】Lecture 21_ Probabilistic Inference I(上)
【第59集】Lecture 21_ Probabilistic Inference I(中)
【第60集】Lecture 21_ Probabilistic Inference I(下)
【第61集】Lecture 22_ Probabilistic Inference II(上)
【第62集】Lecture 22_ Probabilistic Inference II(中)
【第63集】Lecture 22_ Probabilistic Inference II(下)
【第64集】Lecture 23_ Model Merging, Cross-Modal Coupling, Course Summary(上)
【第65集】Lecture 23_ Model Merging, Cross-Modal Coupling, Course Summary(中)
【第66集】Lecture 23_ Model Merging, Cross-Modal Coupling, Course Summary(下)
【第67集】Mega-Recitation 1_ Rule-Based Systems(上)
【第68集】Mega-Recitation 1_ Rule-Based Systems(中)
【第69集】Mega-Recitation 1_ Rule-Based Systems(下)
【第70集】Mega-Recitation 2_ Basic Search, Optimal Search(上)
【第71集】Mega-Recitation 2_ Basic Search, Optimal Search(中)
【第72集】Mega-Recitation 2_ Basic Search, Optimal Search(下)
【第73集】Mega-Recitation 3_ Games, Minimax, Alpha-Beta(上)
【第74集】Mega-Recitation 3_ Games, Minimax, Alpha-Beta(中)
【第75集】Mega-Recitation 3_ Games, Minimax, Alpha-Beta(下)
【第76集】Mega-Recitation 4_ Neural Nets(上)
【第77集】Mega-Recitation 4_ Neural Nets(中)
【第78集】Mega-Recitation 4_ Neural Nets(下)
【第79集】Mega-Recitation 5_ Support Vector Machines(上)
【第80集】Mega-Recitation 5_ Support Vector Machines(中)
【第81集】Mega-Recitation 5_ Support Vector Machines(下)
【第82集】Mega-Recitation 6_ Boosting(上)
【第83集】Mega-Recitation 6_ Boosting(中)
【第84集】Mega-Recitation 6_ Boosting(下)
【第85集】Mega-Recitation 7_ Near Misses, Arch Learning(上)
【第86集】Mega-Recitation 7_ Near Misses, Arch Learning(中)
【第87集】Mega-Recitation 7_ Near Misses, Arch Learning(下)
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