Self-taught learning: Implementation using MATLAB

Dátum
2014-01-16T08:39:52Z
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Absztrakt

Self-taught learning is a new framework in the domain of machine learning. It has the potential that by using unsupervised learning strategies to automatically learn and extract information and consequently create a succint representation of the given input. I have presented the theoretical underpinnings of the idea and then proceeded to show a possible implementation of the algorithm in the MATLAB programming language. I have also included my experimental results obtained during my research.

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unsupervised learning, machine learning, neural network, autoencoder
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