An introduction to PyTorch (Online Seminar)
publication date :
Event date
This course provides training and hands-on practice on PyTorch, an open-source machine learning library in Python.
Requirements
- This seminar is held online via Zoom. Attendees need to have the following environments.
- Internet connection
- Fixed line is recommended for the stability of connection.
- Terminal with mouse and keyboard available(Windows or Mac)
- Web browser (Chrome is recommended)
- Internet connection
- A Web browser is used to connect to the supercomputer.
- This seminar is held in Japanese language only.
Ently Qualifications
- We will carry out the drill with Unix environment, so a minimum knowledge of Unix (shell operations, reading and editing text files) is required.
- Supercomputer is the candidate for Export Administration Regulations and taking lecture is also subject of the regulations of Foreign Exchange Control Law and relevant law. For the details, please check "Rules for Use of Supercomputers for Foreign Nationals and Japanese Nationals Residing Overseas".
"Rules for Use of Supercomputers for Foreign Nationals and Japanese Nationals Residing Overseas"
http://www.iimc.kyoto-u.ac.jp/en/services/comp/apply/other/gaikokujin.html
Notes
- The email address you register must be what your organization provides for you. Free email address or private email address is not allowed.
- We send you a guidance email 3 days before the seminar, which contains the URLs of seminar room, texts and instructions for connecting to the supercomputer. Please make sure to read the email.
Date | Sep 18(Wed), 2024 from 13:15 to 17:00 |
Venue | Online (Zoom) |
Participation fees | Free |
Eligibility for participation | For academic users only. Users of the large-scale computer system of this center, faculties, graduate and undergraduate students. |
Application | Required |
Capacity | 15 |
Sponsor | Research Support Division |
Inquiry | Research Information Section, IT Promotion Division, Information Management Department, Kyoto University TEL:075-753-7407 E-mail:comp-info Image
![]() Inquiry Form |
Program | TBA |