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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