Differences
This shows you the differences between two versions of the page.
| Both sides previous revisionPrevious revisionNext revision | Previous revisionLast revisionBoth sides next revision | ||
| data_mining:neural_network:autoencoder [2017/07/30 17:42] – [Autoencoder] phreazer | data_mining:neural_network:autoencoder [2017/07/30 18:01] – [Autoencoder] phreazer | ||
|---|---|---|---|
| Line 1: | Line 1: | ||
| ====== Autoencoder ====== | ====== Autoencoder ====== | ||
| - | * Unsupervised learning: Feature extraction | + | * Unsupervised learning: Feature extraction, Generative models, Compression, |
| * 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 | ||
| ===== Comparison with PCA ===== | ===== Comparison with PCA ===== | ||