Statements (21)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:appliesTo |
data compression
image processing representation learning anomaly detection |
| gptkbp:canBe |
KL divergence for sparsity
L1 regularization for sparsity |
| gptkbp:hasComponent |
decoder
encoder |
| gptkbp:hasProperty |
sparsity constraint
|
| https://www.w3.org/2000/01/rdf-schema#label |
Sparse autoencoder
|
| gptkbp:reduces |
reconstruction error
|
| gptkbp:regularizedBy |
sparsity penalty
|
| gptkbp:relatedTo |
gptkb:convolutional_neural_network
denoising autoencoder |
| gptkbp:trainer |
backpropagation
|
| gptkbp:usedFor |
dimensionality reduction
feature learning |
| gptkbp:usedIn |
unsupervised learning
|
| gptkbp:bfsParent |
gptkb:Boltzmann_machine
|
| gptkbp:bfsLayer |
5
|