Neocognitron: Deep Convolutional Neural Network

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  • ネオコグニトロンと畳み込みニューラルネットワーク

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<p>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. Its architecture was suggested by neurophysiological findings on the visual systems of mammals. It is a hierarchical multi-layered network. 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 paper discusses the recent neocognitron focusing on differences from the conventional deep CNN.</p>

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