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Upsampling layer for 1D inputs.
Inherits From: Layer
tf.keras.layers.UpSampling1D( size=2, **kwargs )
Repeats each temporal step size
times along the time axis.
input_shape = (2, 2, 3) x = np.arange(np.prod(input_shape)).reshape(input_shape) print(x) [[[ 0 1 2] [ 3 4 5]] [[ 6 7 8] [ 9 10 11]]] y = tf.keras.layers.UpSampling1D(size=2)(x) print(y) tf.Tensor( [[[ 0 1 2] [ 0 1 2] [ 3 4 5] [ 3 4 5]] [[ 6 7 8] [ 6 7 8] [ 9 10 11] [ 9 10 11]]], shape=(2, 4, 3), dtype=int64)
Arguments | |
---|---|
size | Integer. Upsampling factor. |
3D tensor with shape: (batch_size, steps, features)
.
3D tensor with shape: (batch_size, upsampled_steps, features)
.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/layers/UpSampling1D