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dersmon/arachne-caffe

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Neural network based image classification in the context of archaeology

For my Master's Thesis, I applied convolutional artifical neural networks to archaeological image data taken from Arachne. I used the Caffe framework created by the Berkeley Vision and Learning Center and evaluated different kinds of machine learning methods for image classification.

The thesis can be downloaded as PDF here.

Some test classification results can be found here.

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