tf.keras.layers.ZeroPadding1D

Zero-padding layer for 1D input (e.g. temporal sequence).

Inherits From: Layer, Operation

tf.keras.layers.ZeroPadding1D( padding=1, **kwargs )

Example:

input_shape = (2, 2, 3) x = np.arange(np.prod(input_shape)).reshape(input_shape) x [[[ 0 1 2]  [ 3 4 5]]  [[ 6 7 8]  [ 9 10 11]]] y = keras.layers.ZeroPadding1D(padding=2)(x) y [[[ 0 0 0]  [ 0 0 0]  [ 0 1 2]  [ 3 4 5]  [ 0 0 0]  [ 0 0 0]]  [[ 0 0 0]  [ 0 0 0]  [ 6 7 8]  [ 9 10 11]  [ 0 0 0]  [ 0 0 0]]]

padding Int, or tuple of int (length 2), or dictionary.

  • If int: how many zeros to add at the beginning and end of the padding dimension (axis 1).
  • If tuple of 2 ints: how many zeros to add at the beginning and the end of the padding dimension ((left_pad, right_pad)).

3D tensor with shape (batch_size, axis_to_pad, features)

3D tensor with shape (batch_size, padded_axis, features)

input Retrieves the input tensor(s) of a symbolic operation.

Only returns the tensor(s) corresponding to the first time the operation was called.

output Retrieves the output tensor(s) of a layer.

Only returns the tensor(s) corresponding to the first time the operation was called.

Methods

from_config

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@classmethod from_config( config )

Creates a layer from its config.

This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights).

Args
config A Python dictionary, typically the output of get_config.

Returns
A layer instance.

symbolic_call

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symbolic_call( *args, **kwargs )