UpSampling1D layer
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).