A Multi Class Classification to Detect Original Form of Kaomoji using Neural Network

Noriyuki Okumura, Rei Okumura

Abstract

In this paper, we propose a multi-class classification method for Kaomoji using feed forward neural network. Neural network has some units in each layer, but the suitable number of units is not clear. This research investigated the relation between the number of units and the accuracy of multi-class classification method.

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