Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4
Contains classes for the neural network layers.
Packages | |
package | abs |
Contains classes of the abs layer. | |
package | average_pooling1d |
Contains classes of the one-dimensional (1D) average pooling layer. | |
package | average_pooling2d |
Contains classes of the two-dimensional (2D) average pooling layer. | |
package | average_pooling3d |
Contains classes of the three-dimensional (3D) average pooling layer. | |
package | batch_normalization |
Contains classes of the batch normalization layer. | |
package | concat |
Contains classes of the concat layer. | |
package | convolution2d |
Contains classes of the two-dimensional (2D) convolution layer. | |
package | dropout |
Contains classes of the dropout layer. | |
package | eltwise_sum |
Contains classes of the element-wise sum layer. | |
package | elu |
Contains classes of the Exponential Linear Unit (ELU) layer. | |
package | fullyconnected |
Contains classes of the fully-connected layer. | |
package | lcn |
Contains classes of the local contrast normalization layer. | |
package | locallyconnected2d |
Contains classes of the two-dimensional (2D) locally connected layer. | |
package | logistic |
Contains classes of the logistic layer. | |
package | logistic_cross |
Contains classes of thelogistic cross-entropy layer. | |
package | loss |
Contains classes of the loss layer. | |
package | lrn |
Contains classes of the local response normalization layer. | |
package | maximum_pooling1d |
Contains classes of the one-dimensional (1D) maximum pooling layer. | |
package | maximum_pooling2d |
Contains classes of the two-dimensional (2D) maximum pooling layer. | |
package | maximum_pooling3d |
Contains classes of the three-dimensional (3D) maximum pooling layer. | |
package | pooling1d |
Contains classes of the one-dimensional (1D) pooling layers. | |
package | pooling2d |
Contains classes of the two-dimensional (2D) pooling layers. | |
package | pooling3d |
Contains classes of the three-dimensional (3D) pooling layers. | |
package | prelu |
Contains classes of the prelu layer. | |
package | relu |
Contains classes of the rectified linear unit (relu) layer. | |
package | reshape |
Contains classes of the reshape layer. | |
package | smoothrelu |
Contains classes of the smooth rectified linear unit (smoothrelu) layer. | |
package | softmax |
Contains classes of the softmax layer. | |
package | softmax_cross |
Contains classes of thesoftmax cross-entropy layer. | |
package | spatial_average_pooling2d |
Contains classes of the two-dimensional (2D) spatial average pooling layer. | |
package | spatial_maximum_pooling2d |
Contains classes of the two-dimensional (2D) spatial maximum pooling layer. | |
package | spatial_pooling2d |
Contains classes of the two-dimensional (2D) pooling layers. | |
package | spatial_stochastic_pooling2d |
Contains classes of the two-dimensional (2D) spatial stochastic pooling layer. | |
package | split |
Contains classes of the split layer. | |
package | stochastic_pooling2d |
Contains classes of the two-dimensional (2D) stochastic pooling layer. | |
package | tanh |
Contains classes of the hyperbolic tangent (tanh) layer. | |
package | transposed_conv2d |
Contains classes of the two-dimensional (2D) transposed convolution layer. | |
Classes | |
class | BackwardInput |
Input object for the backward layer More... | |
class | BackwardInputId |
Available identifiers of input objects for the backward layer. More... | |
class | BackwardInputLayerDataId |
Available identifiers of input objects for the backward layer. More... | |
class | BackwardLayer |
Class representing a backward layer of neural network. More... | |
class | BackwardResult |
Provides methods to access results obtained with the compute() method of the backward layer. More... | |
class | BackwardResultId |
Available identifiers of results for the backward layer. More... | |
class | BackwardResultLayerDataId |
Available identifiers of results for the backward layer. More... | |
class | ForwardInput |
Input object for the forward layer More... | |
class | ForwardInputId |
Available identifiers of input objects for the forward layer. More... | |
class | ForwardInputLayerDataId |
Available identifiers of input objects for the forward layer. More... | |
class | ForwardLayer |
Class representing a forward layer of neural network. More... | |
class | ForwardLayerDescriptor |
Class defining descriptor for layer on forward stage. More... | |
class | ForwardResult |
Provides methods to access results obtained with the compute() method of the forward layer. More... | |
class | ForwardResultId |
Available identifiers of results for the forward layer. More... | |
class | ForwardResultLayerDataId |
Available identifiers of results for the forward layer. More... | |
class | LayerDescriptor |
Class defining descriptor for layer on both forward and backward stages and its parameters. More... | |
class | LayerIface |
Abstract class that specifies the interface of layer. More... | |
class | NextLayers |
Contains list of layer indices of layers following the current layer. More... | |
class | Parameter |
Class that specifies parameters of the neural network layer. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.