International Journal of Computing Science and Applied Mathematics
Vol 8, No 1 (2022)

Implementation of Convolutional Neural Networks for Batik Image Dataset

Vina Ayumi (Unknown)
Ida Nurhaida (Unknown)
Handrie Noprisson (Unknown)

Article Info

Publish Date
21 Feb 2022

Abstract

One method of image recognition that can be used is a convolutional neural network (CNN). However, the training model of CNN is not an easy thing; it takes tuning parameters that take a long time in the training process. This research will do Batik pattern recognition by using CNN. From the experiment that we conducted, the result shows that the feature extraction, selection, and reduction give the accuracy more significant than raw image dataset. The feature selection and reduction also can improve the execution time. Parameters value that gave best accuracy are: epoch = 200, batch_size = 20, optimizer = adam, learning_rate = 0.01, network weight initialization = lecun_uniform, neuron activation function = linear.

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Journal Info
International Journal of Computing Science and Applied Mathematics
Website

Abbrev

ijcsam

Publisher

Institut Teknologi Sepuluh Nopember Surabaya

Subject

Computer Science & IT Education Mathematics

Description

(IJCSAM) International Journal of Computing Science and Applied Mathematics is an open access journal publishing advanced results in the fields of computations, science and applied mathematics, as mentioned explicitly in the scope of the journal. The journal is geared towards dissemination of ...