| Package | Description |
|---|---|
| org.deeplearning4j.nn.conf |
| Modifier and Type | Method and Description |
|---|---|
NeuralNetConfiguration.ListBuilder |
NeuralNetConfiguration.ListBuilder.InputTypeBuilder.convolutional(int height,
int width,
int depth)
|
NeuralNetConfiguration.ListBuilder |
NeuralNetConfiguration.ListBuilder.InputTypeBuilder.convolutionalFlat(int height,
int width,
int depth)
|
NeuralNetConfiguration.ListBuilder |
NeuralNetConfiguration.ListBuilder.InputTypeBuilder.feedForward(int size)
|
NeuralNetConfiguration.ListBuilder |
NeuralNetConfiguration.ListBuilder.layer(int ind,
@NonNull Layer layer) |
NeuralNetConfiguration.ListBuilder |
NeuralNetConfiguration.ListBuilder.layer(Layer layer) |
NeuralNetConfiguration.ListBuilder |
NeuralNetConfiguration.Builder.list()
Create a ListBuilder (for creating a MultiLayerConfiguration)
Usage: .list()
.layer(new DenseLayer.Builder()...build())
...
.layer(new OutputLayer.Builder()...build())
|
NeuralNetConfiguration.ListBuilder |
NeuralNetConfiguration.Builder.list(Layer... layers)
Create a ListBuilder (for creating a MultiLayerConfiguration) with the specified layers
Usage: .list(
new DenseLayer.Builder()...build(),
...,
new OutputLayer.Builder()...build())
|
NeuralNetConfiguration.ListBuilder |
NeuralNetConfiguration.ListBuilder.InputTypeBuilder.recurrent(int size)
|
NeuralNetConfiguration.ListBuilder |
NeuralNetConfiguration.ListBuilder.setInputType(InputType inputType) |
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