| Package | Description |
|---|---|
| org.deeplearning4j.arbiter.layers | |
| org.deeplearning4j.nn.conf.layers.variational | |
| org.deeplearning4j.nn.layers.variational |
| Class and Description |
|---|
| ReconstructionDistribution
The ReconstructionDistribution is used with variational autoencoders
VariationalAutoencoder
to specify the form of the distribution p(data|x). |
| VariationalAutoencoder
Variational Autoencoder layer
See: Kingma & Welling, 2013: Auto-Encoding Variational Bayes - https://arxiv.org/abs/1312.6114
This implementation allows multiple encoder and decoder layers, the number and sizes of which can be set
independently.
|
| VariationalAutoencoder.Builder |
| Class and Description |
|---|
| CompositeReconstructionDistribution
CompositeReconstructionDistribution is a reconstruction distribution built from multiple other ReconstructionDistribution
instances.
|
| CompositeReconstructionDistribution.Builder |
| ReconstructionDistribution
The ReconstructionDistribution is used with variational autoencoders
VariationalAutoencoder
to specify the form of the distribution p(data|x). |
| VariationalAutoencoder
Variational Autoencoder layer
See: Kingma & Welling, 2013: Auto-Encoding Variational Bayes - https://arxiv.org/abs/1312.6114
This implementation allows multiple encoder and decoder layers, the number and sizes of which can be set
independently.
|
| VariationalAutoencoder.Builder |
| Class and Description |
|---|
| ReconstructionDistribution
The ReconstructionDistribution is used with variational autoencoders
VariationalAutoencoder
to specify the form of the distribution p(data|x). |
| VariationalAutoencoder
Variational Autoencoder layer
See: Kingma & Welling, 2013: Auto-Encoding Variational Bayes - https://arxiv.org/abs/1312.6114
This implementation allows multiple encoder and decoder layers, the number and sizes of which can be set
independently.
|
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