PENCARIAN OBJEK WISATA BERSEJARAH DI PULAU JAWA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK

Main Article Content

Nadia Ramadhani
Janson Hendryli
Dyah Erny Herwindiati

Abstract

In order to make a image-based search for historical sites in Java, Convolutional Neural Network is used. Not only to make a website which can search historycal sites in Java using image, it also compared two CNN structure. There are two architechture which is used in this paper which is Residual Network and Inception. There are some experiments that were done to establish the best architecture among the two for this aplication. Those experiments showed that inception gave a better result for the application

Article Details

Section
Articles

References

Christian S.; Vincent V.; Sergey I.; Shlens, Jon dan Sbigniew W. “Rethinking the Inception Architecture for Computer Vision”. International Conference on Image, Vision and Computing (ICIVC). Juni, 2012.

Ciresan, Dan C.; Meier, Ueli.; Masci, Jonathan.; Gambardella, Luca Maria dan Schmudhuber, Jurgen. Flexible, High Performance Convolutional Networks for Image Classification. Barcelona: UJCAI, Juli, 2011.

Haykin, Simon. Neural Network and Learning Machines. London: Pearson, 2009.

He, Kaiming.; Zhang, Xiangyu.; Ren, Shaoqing dan Sun, Jian. “Deep Residual Learning for Image Recognition”. IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City: IEEE, Juni, 2016.

Homik, Kurt.; Stichcombe, Maxwell dan White, Halbert. “Multilayer Feedward Network are Universal Approximators”. Jurnal Neural Networks, Vol 2, No. 5. Oxford: Pergamon Press, Oktober, 1989.

Rosebrock, Adrian. ImageNet: VGGNet, ResNet, Inception, and Xception with Keras. https://www.pyimagesearch.com/2017/03/20/imagenet-vggnet-resnet-inception-xception-keras/. 4 September 2018.

UFLDL Standford. Deep Networks: Overview. http://ufldl.stanford.edu/wiki/index.php/Deep_Networks:_Overview. 7 September 2018.