A study on the similarities of Deep Belief Networks and Stacked Autoencoders
Restricted Boltzmann Machines (RBMs) and autoencoders have been used - in several variants - for similar tasks, such as reducing dimensionality or extracting features from signals. Even though their structures are quite similar, they rely on different training theories. Lately, they have been largel...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2015
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174341 |