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Keynote

Keynote: Deep CNN Neocognitron for Artificial Vision

Kunihiko Fukushima

Date & Time

Tue, July 21, 2020

01:00 pm – 02:00 pm

Location

On-Demand

Abstract

Recently, deep convolutional neural networks (deep CNN) have become very popular in the field of visual pattern recognition. The neocognitron, which was first proposed by Fukushima (1979), is a network classified to this category. It is a hierarchical multi-layered network. Its architecture was suggested by neurophysiological findings on the visual systems of mammals. It acquires the ability to recognize visual patterns robustly through learning. Although the neocognitron has a long history, improvements of the network are still continuing. This talk discusses the recent neocognitron, focusing on differences from the conventional deep CNN.


Presenter

Kunihiko Fukushima

Fuzzy Logic Systems Institute
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Date & Time

Tue, July 21, 2020

01:00 pm – 02:00 pm

Location

On-Demand