Effect of Epoch on Accuracy using Convolutional Neural Network to Classification of fashion and furniture
DOI:
https://doi.org/10.29408/jit.v5i1.4393Kata Kunci:
CNN, fashion, furniture, epochAbstrak
Fashion and furniture are a necessity for every individual. The choice of fashion can sometimes also be someone else's assessment of the character possessed by each individual. Likewise, the selection of furniture can also describe the identity of each individual. However, fashion and furniture have various models, for that we need information technology that can distinguish between model a and model b. Classification is a model that groups based on the same criteria. The use of classification must be supported by the right method and the use of epochs so that the resulting accuracy can be maximized. The Convolutional Neural Network (CNN) method is a very appropriate method for image classification because there are many architectures that can be used. The results of this study indicate that the best accuracy in furniture = 94.18% with the use of epoch = 500, and fashion = 99.15% with the use of epoch = 1500.Referensi
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