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Wiwien Widyastuti, author

ABSTRACT
This research trained Deep Convolutional Networks(ConvNets) to classify hand-written Pallava alphabet. The Deep ConvNets architecture consists of two convolutional layers, each followed by maxpooling layer, two Fully-Connected layers. It had 442.602 parameters. This model classified 660 images of hand-written Pallava alphabet into 33 diferent classes. To make...

Yogyakarta: Media Teknika, 2017

620 MT 12:2 (2017)

Artikel Jurnal  Universitas Indonesia Library

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