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Cut to the point: What IS a deep network, anyway? It's a network with multiple hidden layers. Also site krizhevsky to counter the "rebranding" claim and added link to that reference. |
changed 'algorithm' to 'algorithms' |
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{{machine learning bar}}
'''Deep learning''' (also known as '''deep structured learning''', '''hierarchical learning''' or '''deep machine learning''') is the study of [[artificial neural networks]] and related [[machine learning]] [[
* use a cascade of many layers of [[Nonlinear filter|nonlinear processing]] units for [[feature extraction]] and transformation. Each successive layer uses the output from the previous layer as input. The algorithms may be [[Supervised learning|supervised]] or [[Unsupervised learning|unsupervised]] and applications include pattern analysis (unsupervised) and classification (supervised).
* are based on the (unsupervised) learning of multiple levels of features or representations of the data. Higher level features are derived from lower level features to form a hierarchical representation.
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