Graduate School of Science and Engineering

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PRI500X4（情報学基礎 / Principles of informatics 500）
Machine Learning 1

Chihiro SHIBATA

Class code etc
Faculty/Graduate school Graduate School of Science and Engineering
Attached documents
Year 2022
Class code YC044
Previous Class code
Previous Class title
Term 秋学期授業/Fall
Day/Period 金3/Fri.3
Class Type
Campus 小金井
Classroom name 各学部・研究科等の時間割等で確認
Grade
Credit(s) 2
Notes
Class taught by instructors with practical experience
Category システム理工学専攻

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Outline (in English)

[Outline]
In this lecture, we learn about Generative Adversarial Networks (GANs), a technique of deep neural networks that has attracted much attention recently, mainly from the viewpoint of applications and programming. The aim of this lecture is to gain knowledge of how GANs are actually applied and programmed.
In addition, we refer to actual codes using the python language and a library called PyTorch to gain a deeper understanding.
[Goal]
To gain a general knowledge of what adversarial generative networks are, and how they can be applied to real-world problems. To deepen the understanding of how to code them in practice.
[Learning Activities Outside of Classroom]
Basic knowledge of Python language is required in advance.
[Grading Criteria]
Evaluation is based on the report submitted at the end of the semester.

Default language used in class

日本語 / Japanese