This repo is intended to be an experiment with restricted Boltzmann machines. Refer to THIS BLOG for real time progress updates and explanations of the math behind the model. The plan is as follows:
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Write a restricted Boltzmann machine 🏁
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Train model on data from the MNIST dataset 🏁
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Tune model until it's clear that learned features of MNIST dataset aptly represent the image data 🏁
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Check to see if alternate representation learned by RBM is more useful than raw image data
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Use SVM to classify MNIST dataset based on features learned by RBM 🏁
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Try to use RBM to classify Alzheimer's patients from this data