Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

Packages | Classes

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.