C++ API Reference for Intel® Data Analytics Acceleration Library 2019
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. | |
| daal::algorithms::neural_networks::layers::interface1 | |
| Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
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... | |
| class | Parameter |
| class | NextLayers |
| Contains list of layer indices of layers following the current layer. More... | |
Enumerations | |
| enum | LayerInputLayout |
| enum | LayerResultLayout |
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