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Start by learning
some features of the raw sensory input.
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The features
should capture interesting regularities in the
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input.
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Then learn
another layer of features by treating the first
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layer of features
as sensory data.
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Keep learning
layers of features until the highest level
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“features” are so
complex that they make it very easy to
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recognize
objects, speech ….
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Fifty
years later, we can finally make this work!
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