tf.keras.layers.UpSampling1D

Upsampling layer for 1D inputs.

Inherits From: Layer, Operation

tf.keras.layers.UpSampling1D( size=2, **kwargs )

Repeats each temporal step size times along the time axis.

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.UpSampling1D(size=2)(x) y [[[ 0. 1. 2.]  [ 0. 1. 2.]  [ 3. 4. 5.]  [ 3. 4. 5.]]

[[ 6. 7. 8.] [ 6. 7. 8.] [ 9. 10. 11.] [ 9. 10. 11.]]]

size Integer. Upsampling factor.

3D tensor with shape: (batch_size, steps, features).

3D tensor with shape: (batch_size, upsampled_steps, 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 )