Artificial Intelligence |
YAMANE, Ken |
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【Information and Electronics Engineering･1st semester】
17-1-1519-3192 |
| １． |
Outline |
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We overview artificial intelligence and discuss its limitations and future. Also, this class deals with the following topics; history of AI, classical AI, reinforcement learning, deep leaning, expert system, neural network, Bayes' theorem, symbol grounding problem, frame problem etc.
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| ２． |
Objectives |
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The aim of the course is to learn fundamental methods and techniques of artificial intelligent.
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| １． |
Outline |
|
We overview artificial intelligence and discuss its limitations and future. Also, this class deals with the following topics; history of AI, classical AI, reinforcement learning, deep leaning, expert system, neural network, Bayes' theorem, symbol grounding problem, frame problem etc.
|
| ２． |
Objectives |
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The aim of the course is to learn fundamental methods and techniques of artificial intelligent.
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Grading Policy |
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Textbook and Reference |
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Requirements (Assignments) |
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Note |
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Schedule |
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