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Update README.md
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@adnanardhian
adnanardhian authored Mar 13, 2017
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Expand Up @@ -4,6 +4,8 @@ Convolutional Neural Network combined with ensemble classifier for land use clas
In this project, transfer learning is used, the configuration of the cnn is same as VGG-16 & VGG-19, thanks to https://github.com/fchollet/keras/blob/master/keras/applications/vgg16.py
https://github.com/fchollet/keras/blob/master/keras/applications/vgg19.py

Random forest is build using sklearn, thanks to : http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html

also using keras library, with Theano as backend

The Land Use dataset is from UC Merced Land Use Dataset, thanks to http://vision.ucmerced.edu/datasets/landuse.html Total data used is 2100 images, which consist of 21 classes, each class consist of 100 images, the classes are:
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