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