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Uni project building a deep belief network alongside a neural network to classify images

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University project implementing symbol recognition of a few symbols from omniglot dataset

Relevant information and my thought process is inside the notebook =)

DBM implementation: https://github.com/flavio2018/Deep-Belief-Network-pytorch who forked from https://github.com/mehulrastogi/Deep-Belief-Network-pytorch

Libraries: pytorch, sklearn, scipy

Project consists of implementing DBN, FFNN, studying internal representations, perceptive fields, robustness to noise (etc.). I have augmented the dataset using pytorch transforms

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Uni project building a deep belief network alongside a neural network to classify images

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