Package | Description |
---|---|
org.deeplearning4j.nn.conf | |
org.deeplearning4j.nn.conf.inputs | |
org.deeplearning4j.nn.conf.layers | |
org.deeplearning4j.nn.conf.serde.format |
Modifier and Type | Class and Description |
---|---|
class |
CNN2DFormat
CNN2DFormat defines the format of the activations (including input images) in to and out of all 2D convolution layers in
Deeplearning4j.
|
class |
RNNFormat
NCW = "channels first" - arrays of shape [minibatch, channels, width]
NWC = "channels last" - arrays of shape [minibatch, width, channels] "width" corresponds to sequence length and "channels" corresponds to sequence item size. |
Modifier and Type | Method and Description |
---|---|
static InputType |
InputType.feedForward(long size,
DataFormat timeDistributedFormat) |
Constructor and Description |
---|
InputTypeFeedForward(long size,
DataFormat timeDistributedFormat) |
Modifier and Type | Field and Description |
---|---|
protected DataFormat |
FeedForwardLayer.timeDistributedFormat |
Modifier and Type | Method and Description |
---|---|
DataFormat |
DataFormatDeserializer.deserialize(org.nd4j.shade.jackson.core.JsonParser jp,
org.nd4j.shade.jackson.databind.DeserializationContext deserializationContext) |
Modifier and Type | Method and Description |
---|---|
void |
DataFormatSerializer.serialize(DataFormat dataFormat,
org.nd4j.shade.jackson.core.JsonGenerator jsonGenerator,
org.nd4j.shade.jackson.databind.SerializerProvider serializerProvider) |
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