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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index, |
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kernelSize = 2 , |
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stride = 2 , |
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padding = 0 |
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Constructs the parameters of 1D pooling layer
- Parameters
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index | Index of the dimension on which pooling is performed |
kernelSize | Size of 1D subtensor for which the element is computed |
stride | Interval over the dimension on which the pooling is performed |
padding | Number of data elements to implicitly add to the the dimension of the 1D subtensor on which the pooling is performed |
- Deprecated:
- This item will be removed in a future release.
Index of the dimension on which pooling is performed
Data structure representing the size of the 1D subtensor
Data structure representing the number of data elements to implicitly add
Data structure representing the intervals on which the subtensors for pooling are computed
The documentation for this class was generated from the following file:
- algorithms/neural_networks/layers/pooling1d/__init__.py