Masking layer
This card is a wrapper of this Keras class.
Note: the backend for building and training neural networks is based on Keras. The documentation of this card is a variant of the documentation of its corresponding class.
Inputs
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Mask value — Float
For each timestep in the input tensor (dimension #1 in the tensor), if all values in the input tensor at that timestep are equal to Mask value, then the timestep will be masked (skipped) in all downstream layers (as long as they support masking).
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Input — NeuralNetworkTensor
Input of this layer.
Outputs
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Layer instance — NeuralNetworkLayer
Instance of this layer. It can be wrapped using a Bidirectional or a TimeDistributed wrapper.
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Output — NeuralNetworkTensor
Output of this layer.