This layer creates a convolution kernel that is convolved with the layer input over a single dimension. Corresponds to the Keras Convolution 1D Layer.
output[t]does not depend on
input[t + 1]. A zero padding is used such that the output has the same length as the original input. Useful when modeling temporal data where the model should not violate the temporal order. See WaveNet: A Generative Model for Raw Audio, section 2.1
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