Provides methods for the average 2D pooling layer in the batch processing mode.
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- Parameters
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fptype | Data type to use in intermediate computations for the average 2D pooling layer, double or float |
method | Average 2D pooling layer method, Method |
- Enumerations
- Method Computation methods
- LayerDataId Identifiers of collection in results of forward and in input objects for the backward average 2D pooling layer
- References
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- Deprecated:
- This item will be removed in a future release.
- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.neural_networks.layers.average_pooling2d.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.neural_networks.layers.average_pooling2d.defaultDense)
def __init__ |
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nDimensions |
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Constructs the average 2D pooling layer
- Parameters
-
nDimensions | Number of dimensions in input gradient tensor |
- Deprecated:
- This item will be removed in a future release.
Average 2D pooling layer parameters
The documentation for this class was generated from the following file:
- algorithms/neural_networks/layers/average_pooling2d/__init__.py