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Added shape docs for MaxPool1D layer from Keras (Kotlin#211)
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dosier committed Sep 29, 2022
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Expand Up @@ -17,6 +17,10 @@ import org.tensorflow.op.core.Squeeze
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* Downsamples the input by taking maximum value over a temporal window of size [poolSize].
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* __Input shape:__ 3D tensor with shape `(batch_size, steps, features)`.
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* __Output shape:__ 3D tensor with shape `(batch_size, downsampled_steps, features)`.
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* @property [poolSize] Size of the temporal pooling window for each dimension of input.
* @property [strides] The amount of shift for pooling window per each input dimension in each pooling step.
* @property [padding] Padding strategy; can be either of [ConvPadding.VALID] which means no padding, or
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