C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

References | Namespaces | Classes

Contains classes for neural network layers. More...

References

 Absolute Value (Abs) Layer
 Contains classes of the abs layer.
 
 Backward Base Layer
 Contains classes for the backward stage of the neural network layer.
 
 Batch Normalization Layer
 Contains classes for batch normalization layer.
 
 Concat Layer
 Contains classes for the concat layer.
 
 Dropout Layer
 Contains classes for dropout layer.
 
 Element-wise Sum Layer
 Contains classes for neural network element-wise sum layer.
 
 Exponential Linear Unit (ELU) Layer
 Contains classes for the ELU layer.
 
 Forward Base Layer
 Contains classes for the forward stage of the neural network layer.
 
 Fully-connected Layer
 Contains classes for neural network fully-connected layer.
 
 Hyperbolic Tangent Layer
 Contains classes for the hyperbolic tangent layer.
 
 Local Response Normalization Layer
 Contains classes for local response normalization layer.
 
 Local contrast normalization (LCN) Layer
 Contains classes for neural network local contrast normalization layer.
 
 Logistic Layer
 Contains classes for the logistic layer.
 
 Loss Layer
 Contains classes for loss layer.
 
 One-dimensional Pooling Layer
 Contains classes for the one-dimensional (1D) pooling layer.
 
 Parametric Rectifier Linear Unit (pReLU) Layer
 Contains classes for the prelu layer.
 
 Rectifier Linear Unit (ReLU) Layer
 Contains classes for the relu layer.
 
 Reshape Layer
 Contains classes of the reshape layer.
 
 Smooth Rectifier Linear Unit (SmoothReLU) Layer
 Contains classes for smooth relu layer.
 
 Softmax Layer
 Contains classes of the softmax layer.
 
 Split Layer
 Contains classes for the split layer.
 
 Three-dimensional Pooling Layer
 Contains classes for the three-dimensional (3D) pooling layer.
 
 Two-dimensional Convolution Layer
 Contains classes for neural network 2D convolution layer.
 
 Two-dimensional Locally Connected Layer
 Contains classes for neural network 2D locally connected layer.
 
 Two-dimensional Pooling Layer
 Contains classes for the two-dimensional (2D) pooling layer.
 
 Two-dimensional Spatial Pyramid Pooling Layer
 Contains classes for the two-dimensional (2D) spatial layer.
 
 Two-dimensional Transposed Convolution Layer
 Contains classes for neural network 2D transposed convolution layer.
 

Namespaces

 daal::algorithms::neural_networks::layers
 Contains classes for neural network layers.
 

Classes

class  LayerIface
 Abstract class that specifies the interface of layer. More...
 
class  LayerDescriptor
 Class defining descriptor for layer on both forward and backward stages and its parameters. More...
 

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