Hasil Pencarian  ::  Kembali

Hasil Pencarian

Ditemukan 1 dokumen yang sesuai dengan query
cover
Wiwien Widyastuti, author
Kinerja deep convolutional network untuk pengenalan aksara pallawa / Wiwien Widyastuti
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