Differences
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| Both sides previous revisionPrevious revision | |||
| data_mining:neural_network:autoencoder [2017/07/30 18:01] – [Autoencoder] phreazer | data_mining:neural_network:autoencoder [2017/07/30 18:02] (current) – [Autoencoder] phreazer | ||
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| * Loss as evaluation metric | * Loss as evaluation metric | ||
| * Difference to RBM: Deterministic approach (not stochastic). | * Difference to RBM: Deterministic approach (not stochastic). | ||
| - | + | * Encoder compresses to few dimensions, Decoder maps back to full dimensionality | |
| - | Encoder compresses to few dimensions, Decoder maps back to full dimensionality | + | * Building block for deep belief networks |
| ===== Comparison with PCA ===== | ===== Comparison with PCA ===== | ||