C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains classes for neural network layers.
Namespaces | |
abs | |
Contains classes of the abs layer. | |
average_pooling1d | |
Contains classes for average one-dimensional (1D) pooling layer. | |
average_pooling2d | |
Contains classes for average two-dimensional (2D) pooling layer. | |
average_pooling3d | |
Contains classes for average three-dimensional (3D) pooling layer. | |
backward | |
Contains classes for the backward stage of the neural network layer. | |
batch_normalization | |
Contains classes for batch normalization layer. | |
concat | |
Contains classes for the concat layer. | |
convolution2d | |
Contains classes for neural network 2D convolution layer. | |
dropout | |
Contains classes for dropout layer. | |
eltwise_sum | |
Contains classes for neural network element-wise sum layer. | |
elu | |
Contains classes for the ELU layer. | |
forward | |
Contains classes for the forward stage of the neural network layer. | |
fullyconnected | |
Contains classes for neural network fully-connected layer. | |
interface1 | |
Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
lcn | |
Contains classes for neural network local contrast normalization layer. | |
locallyconnected2d | |
Contains classes for neural network 2D locally connected layer. | |
logistic | |
Contains classes for the logistic layer. | |
loss | |
Contains classes for loss layer. | |
lrn | |
Contains classes for local response normalization layer. | |
maximum_pooling1d | |
Contains classes for maximum one-dimensional (1D) pooling layer. | |
maximum_pooling2d | |
Contains classes for maximum two-dimensional (2D) pooling layer. | |
maximum_pooling3d | |
Contains classes for maximum three-dimensional (3D) pooling layer. | |
pooling1d | |
Contains classes for the one-dimensional (1D) pooling layer. | |
pooling2d | |
Contains classes for the two-dimensional (2D) pooling layer. | |
pooling3d | |
Contains classes for the three-dimensional (3D) pooling layer. | |
prelu | |
Contains classes for the prelu layer. | |
relu | |
Contains classes for the relu layer. | |
reshape | |
Contains classes of the reshape layer. | |
smoothrelu | |
Contains classes for smooth relu layer. | |
softmax | |
Contains classes of the softmax layer. | |
spatial_average_pooling2d | |
Contains classes for spatial pyramid average two-dimensional (2D) pooling layer. | |
spatial_maximum_pooling2d | |
Contains classes for spatial pyramid maximum two-dimensional (2D) pooling layer. | |
spatial_pooling2d | |
Contains classes for the two-dimensional (2D) spatial layer. | |
spatial_stochastic_pooling2d | |
Contains classes for spatial pyramid stochastic two-dimensional (2D) pooling layer. | |
split | |
Contains classes for the split layer. | |
stochastic_pooling2d | |
Contains classes for stochastic two-dimensional (2D) pooling layer. | |
tanh | |
Contains classes for the hyperbolic tangent layer. | |
transposed_conv2d | |
Contains classes for neural network 2D transposed convolution layer. | |
Enumerations | |
enum | LayerInputLayout |
enum | LayerResultLayout |
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