C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Parameters for the forward and backward batch normalization layers. More...
| Parameter | ( | double | alpha = 0.01, |
| double | epsilon = 0.00001, |
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| size_t | dimension = 1 |
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| ) |
Constructs the parameters of the batch normalization layer
| [in] | alpha | Smoothing factor that is used in population mean and population variance computations |
| [in] | epsilon | A constant added to the mini-batch variance for numerical stability |
| [in] | dimension | Index of the dimension for which the normalization is performed |
| double alpha |
Smoothing factor that is used in population mean and population variance computations
| size_t dimension |
Index of the dimension for which the normalization is performed
| double epsilon |
A constant added to the mini-batch variance for numerical stability
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