Parameters for the forward and backward pooling layers.
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- Deprecated:
- This item will be removed in a future release.
def __init__ |
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self, |
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firstIndex, |
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secondIndex, |
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thirdIndex, |
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firstKernelSize = 2 , |
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secondKernelSize = 2 , |
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thirdKernelSize = 2 , |
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firstStride = 2 , |
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secondStride = 2 , |
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thirdStride = 2 , |
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firstPadding = 0 , |
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secondPadding = 0 , |
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thirdPadding = 0 |
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Constructs the parameters of 3D pooling layer
- Parameters
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firstIndex | Index of the first of three dimensions on which the pooling is performed |
secondIndex | Index of the second of three dimensions on which the pooling is performed |
thirdIndex | Index of the third of three dimensions on which the pooling is performed |
firstKernelSize | Size of the first dimension of three-dimensional subtensor for which the kernel is applied |
secondKernelSize | Size of the second dimension of three-dimensional subtensor for which the kernel is applied |
thirdKernelSize | Size of the third dimension of three-dimensional subtensor for which the kernel is applied |
firstStride | Interval over the first dimension on which the pooling is performed |
secondStride | Interval over the second dimension on which the pooling is performed |
thirdStride | Interval over the third dimension on which the pooling is performed |
firstPadding | Number of data elements to implicitly add to the the first dimension of the three-dimensional subtensor on which the pooling is performed |
secondPadding | Number of data elements to implicitly add to the the second dimension of the three-dimensional subtensor on which the pooling is performed |
thirdPadding | Number of data elements to implicitly add to the the third dimension of the three-dimensional subtensor on which the pooling is performed |
- Deprecated:
- This item will be removed in a future release.
Indices of the three dimensions on which pooling is performed
Data structure representing the size of the three-dimensional subtensor
Data structure representing the number of data elements to implicitly add
Data structure representing the intervals on which the subtensors for pooling are selected
The documentation for this class was generated from the following file:
- algorithms/neural_networks/layers/pooling3d/__init__.py