Parameters for the stochastic 2D pooling layer.
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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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firstKernelSize = 2 , |
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secondKernelSize = 2 , |
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firstStride = 2 , |
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secondStride = 2 , |
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firstPadding = 0 , |
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secondPadding = 0 |
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Constructs the parameters of 2D pooling layer
- Parameters
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firstIndex | Index of the first of two dimensions on which the pooling is performed |
secondIndex | Index of the second of two dimensions on which the pooling is performed |
firstKernelSize | Size of the first dimension of 2D subtensor for which the stochastic element is selected |
secondKernelSize | Size of the second dimension of 2D subtensor for which the stochastic element is selected |
firstStride | Interval over the first dimension on which the pooling is performed |
secondStride | Interval over the second dimension on which the pooling is performed |
firstPadding | Number of data elements to implicitly add to the the first dimension of the 2D subtensor on which the pooling is performed |
secondPadding | Number of data elements to implicitly add to the the second dimension of the 2D subtensor on which the pooling is performed |
- Deprecated:
- This item will be removed in a future release.
Engine for multinomial distribution random number generator.
Seed for multinomial distribution random number generator.
- Deprecated:
- This item will be removed in a future release.
The documentation for this class was generated from the following file:
- algorithms/neural_networks/layers/stochastic_pooling2d/__init__.py