Kunihiko Fukushima
Kunihiko Fukushima | |
---|---|
Born | ReLU activation function |
Awards | IEICE Achievement Award and Excellent Paper Awards, IEEE Neural Networks Pioneer Award, APNNA Outstanding Achievement Award, JNNS Excellent Paper Award, INNS Helmholtz Award, Bower Award and Prize for Achievement in Science |
Scientific career | |
Fields | Computer science |
Institutions | Fuzzy Logic Systems Institute |
Kunihiko Fukushima (
Notable scientific achievements
In 1980, Fukushima published the neocognitron,[2][3] the original deep
In 1969 Fukushima introduced the
Education and career
In 1958, Fukushima received his Bachelor of Engineering in electronics from Kyoto University.[1] He became a senior research scientist at the NHK Science & Technology Research Laboratories. In 1989, he joined the faculty of Osaka University.[1] In 1999, he joined the faculty of the University of Electro-Communications. In 2001, he joined the faculty of Tokyo University of Technology. From 2006 to 2010, he was a visiting professor at Kansai University.[1]
Fukushima acted as founding president of the Japanese Neural Network Society (JNNS). He also was a founding member on the board of governors of the International Neural Network Society (INNS), and president of the Asia-Pacific Neural Network Assembly (APNNA).[1] He was one of the board of governors of the International Neural Network Society (INNIS) in 2003.
Awards
In 2020 Fukushima received the
External links
References
- ^ a b c d e f CIS Oral History Project (Don Wunsch) (2015). "Interview with Kunihiko Fukushima". IEEE TV. Retrieved 2019-02-27.
- S2CID 206775608.
- ^ .
- ^ Fogg, Andrew (2017). "A History of Deep Learning". import.io. Retrieved 2019-02-27.
- ^ S2CID 2309950.
- ^ Fukushima, Kunihiko (2018). "Video: Artificial Vision by Deep CNN Neocognitron". Youtube. Retrieved 2019-03-25.
- S2CID 3074096.
- .
- ISBN 978-3-540-11574-8.
- arXiv:2212.11279 [cs.NE].
- S2CID 4399014.
- ^ Hahnloser, R.; Seung, H. S. (2001). Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. NIPS 2001.
- ^ Xavier Glorot; Antoine Bordes; Yoshua Bengio (2011). Deep sparse rectifier neural networks (PDF). AISTATS.
Rectifier and softplus activation functions. The second one is a smooth version of the first.
- Leon Bottou; Genevieve B. Orr; Klaus-Robert Müller (1998). "Efficient BackProp"(PDF). In G. Orr; K. Müller (eds.). Neural Networks: Tricks of the Trade. Springer.
- arXiv:1710.05941 [cs.NE].
- ^ "Kunihiko Fukushima". The Franklin Institute. 2020-01-25. Retrieved 2020-01-27.