Frontier Artificial Intelligence I, II

In the field of artificial intelligence (AI), mastery of deep learning techniques is now essential. In our courses, we systematically cover the mathematics, methods, and fundamental applications necessary to understand deep learning techniques, and also provide an overview of the latest topics in the field. The lectures are taught by several researchers who are active worldwide in the research of deep learning methods and applications. The courses also aim to provide students with the opportunity to acquire skills through exercises using an online system that allows students to code in python using GPUs in their browsers.

Note: This project is one of the activities of the Next Generation Artificial Intelligence Research Center of the University of Tokyo.

Issei Sato, Associate Professor
Hideki Nakayama, Associate Professor
Kohei Nakajima, Associate Professor
Katsuma Inoue, Assistant Professor

Reference book(s)
Okatani, T. Shinsou Gakushuu. (2015). Kodansha. ISBN-13: 978-4061529021. (In Japanese)
Harada，T. Gazou Ninshiki. (2017). Kodansha. ISBN-13: 978-4061529120. (In Japanese)