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This project forked from onermustafaumit/classification_of_hyperspectral_images_based_on_deep_boltzmann_machines
This source code is based on the code of Ruslan Salakhutdinov which is written for MNIST dataset and available from http://www.cs.toronto.edu/~rsalakhu/DBM.html . README2.txt is also explaining the details of this code. However, the code provided here is modified for HSI (Hyper Spectral Images) and some necessary additions are done by Mustafa Ümit ÖNER in January 2015. Please note that DBMs (Deep Boltzman Machines) are developed for binary networks, but we tried this architecture with normalized continuous data and we obtain satisfactory results. Altough, this is mainly due to the back-propagation stage in the supervised side of the algorithm, it is also observed that unsupervised training property of DBMs also work. Permission is granted for anyone to copy, use, modify, or distribute this program and accompanying programs and documents for any purpose, provided this copyright notice is retained and prominently displayed, along with a note saying that the original programs are available from https://github.com/onermustafaumit/Classification_of_Hyperspectral_Images_based_on_Deep_Boltzmann_Machines . /***************/ For detailed background information related to the analysis and the implementation of it, please visit http://www.umitoner.com/projeler.html .
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