Modifier and Type | Interface and Description |
---|---|
interface |
Layer |
Modifier and Type | Method and Description |
---|---|
void |
Updater.setStateViewArray(Trainable layer,
INDArray viewArray,
boolean initialize)
Set the internal (historical) state view array for this updater
|
void |
Updater.update(Trainable layer,
Gradient gradient,
int iteration,
int epoch,
int miniBatchSize,
LayerWorkspaceMgr workspaceMgr)
Updater: updates the model
|
Modifier and Type | Interface and Description |
---|---|
interface |
IOutputLayer |
interface |
RecurrentLayer |
Modifier and Type | Interface and Description |
---|---|
interface |
GraphVertex |
Modifier and Type | Class and Description |
---|---|
class |
BaseGraphVertex |
class |
BaseWrapperVertex |
Modifier and Type | Class and Description |
---|---|
class |
ElementWiseVertex |
class |
FrozenVertex |
class |
InputVertex |
class |
L2NormalizeVertex |
class |
L2Vertex |
class |
LayerVertex |
class |
MergeVertex |
class |
PoolHelperVertex |
class |
PreprocessorVertex |
class |
ReshapeVertex |
class |
ScaleVertex |
class |
ShiftVertex |
class |
StackVertex |
class |
SubsetVertex |
class |
UnstackVertex |
Modifier and Type | Class and Description |
---|---|
class |
DuplicateToTimeSeriesVertex |
class |
LastTimeStepVertex |
class |
ReverseTimeSeriesVertex |
Modifier and Type | Class and Description |
---|---|
class |
AbstractLayer<LayerConfT extends Layer>
A layer with input and output, no parameters or gradients
|
class |
ActivationLayer |
class |
BaseLayer<LayerConfT extends BaseLayer>
A layer with parameters
|
class |
BaseOutputLayer<LayerConfT extends BaseOutputLayer> |
class |
BasePretrainNetwork<LayerConfT extends BasePretrainNetwork> |
class |
DropoutLayer |
class |
FrozenLayer |
class |
FrozenLayerWithBackprop |
class |
LossLayer |
class |
OutputLayer |
class |
RepeatVector |
Modifier and Type | Class and Description |
---|---|
class |
Cnn3DLossLayer |
class |
CnnLossLayer |
class |
Convolution1DLayer |
class |
Convolution3DLayer |
class |
ConvolutionLayer |
class |
Cropping1DLayer |
class |
Cropping2DLayer |
class |
Cropping3DLayer |
class |
Deconvolution2DLayer |
class |
Deconvolution3DLayer |
class |
DepthwiseConvolution2DLayer |
class |
SeparableConvolution2DLayer |
class |
SpaceToBatch |
class |
SpaceToDepth |
class |
ZeroPadding1DLayer |
class |
ZeroPadding3DLayer |
class |
ZeroPaddingLayer |
Modifier and Type | Class and Description |
---|---|
class |
Subsampling1DLayer |
class |
Subsampling3DLayer |
class |
SubsamplingLayer |
Modifier and Type | Class and Description |
---|---|
class |
Upsampling1D |
class |
Upsampling2D |
class |
Upsampling3D |
Modifier and Type | Class and Description |
---|---|
class |
PReLU |
Modifier and Type | Class and Description |
---|---|
class |
AutoEncoder |
Modifier and Type | Class and Description |
---|---|
class |
DenseLayer |
Modifier and Type | Class and Description |
---|---|
class |
ElementWiseMultiplicationLayer |
Modifier and Type | Class and Description |
---|---|
class |
EmbeddingLayer |
class |
EmbeddingSequenceLayer |
Modifier and Type | Class and Description |
---|---|
class |
BatchNormalization |
class |
LocalResponseNormalization |
Modifier and Type | Class and Description |
---|---|
class |
Yolo2OutputLayer |
Modifier and Type | Class and Description |
---|---|
class |
OCNNOutputLayer |
Modifier and Type | Class and Description |
---|---|
class |
GlobalPoolingLayer |
Modifier and Type | Class and Description |
---|---|
class |
BaseRecurrentLayer<LayerConfT extends BaseRecurrentLayer> |
class |
BidirectionalLayer |
class |
GravesBidirectionalLSTM |
class |
GravesLSTM
Deprecated.
|
class |
LastTimeStepLayer |
class |
LSTM |
class |
MaskZeroLayer |
class |
RnnLossLayer |
class |
RnnOutputLayer |
class |
SimpleRnn |
class |
TimeDistributedLayer |
Modifier and Type | Class and Description |
---|---|
class |
SameDiffGraphVertex |
class |
SameDiffLayer |
class |
SameDiffOutputLayer |
Modifier and Type | Class and Description |
---|---|
class |
CenterLossOutputLayer |
Modifier and Type | Class and Description |
---|---|
class |
MaskLayer |
Modifier and Type | Class and Description |
---|---|
class |
VariationalAutoencoder |
Modifier and Type | Class and Description |
---|---|
class |
BaseWrapperLayer |
Modifier and Type | Class and Description |
---|---|
class |
MultiLayerNetwork |
Modifier and Type | Field and Description |
---|---|
protected Map<String,Trainable> |
BaseMultiLayerUpdater.layersByName |
Modifier and Type | Method and Description |
---|---|
protected abstract Trainable[] |
BaseMultiLayerUpdater.getOrderedLayers() |
protected Trainable[] |
LayerUpdater.getOrderedLayers() |
protected Trainable[] |
MultiLayerUpdater.getOrderedLayers() |
Modifier and Type | Method and Description |
---|---|
protected void |
UpdaterBlock.applyRegularization(Regularization.ApplyStep step,
Trainable layer,
String paramName,
INDArray gradientView,
INDArray paramsView,
int iter,
int epoch,
double lr)
Apply L1 and L2 regularization, if necessary.
|
void |
BaseMultiLayerUpdater.preApply(Trainable layer,
Gradient gradient,
int iteration)
Pre-apply: Apply gradient normalization/clipping
|
void |
BaseMultiLayerUpdater.setStateViewArray(Trainable layer,
INDArray viewArray,
boolean initialize) |
void |
BaseMultiLayerUpdater.update(Trainable layer,
Gradient gradient,
int iteration,
int epoch,
int batchSize,
LayerWorkspaceMgr workspaceMgr) |
static boolean |
UpdaterUtils.updaterConfigurationsEquals(Trainable layer1,
String param1,
Trainable layer2,
String param2) |
Modifier and Type | Field and Description |
---|---|
protected Trainable[] |
ComputationGraphUpdater.orderedLayers |
Modifier and Type | Method and Description |
---|---|
protected Trainable[] |
ComputationGraphUpdater.getOrderedLayers() |
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