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► Keras 3 API documentation / Layers API / Reshaping layers / UpSampling1D layer

UpSampling1D layer

[source]

UpSampling1D class

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

Upsampling layer for 1D inputs.

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.]]]

Arguments

  • size: Integer. Upsampling factor.

Input shape

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

Output shape

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

UpSampling1D layer
UpSampling1D class