tf.keras.layers.UpSampling1D
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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.
Arguments |
size
|
Integer. Upsampling factor.
|
3D tensor with shape: (batch, steps, features)
.
Output shape:
3D tensor with shape: (batch, upsampled_steps, features)
.
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Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.layers.UpSampling1D\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/layers/UpSampling1D) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/keras/layers/convolutional.py#L1881-L1913) |\n\nUpsampling layer for 1D inputs.\n\nInherits From: [`Layer`](../../../tf/keras/layers/Layer)\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.layers.UpSampling1D`](/api_docs/python/tf/keras/layers/UpSampling1D)\n\n\u003cbr /\u003e\n\n tf.keras.layers.UpSampling1D(\n size=2, **kwargs\n )\n\nRepeats each temporal step `size` times along the time axis.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|--------|-----------------------------|\n| `size` | Integer. Upsampling factor. |\n\n\u003cbr /\u003e\n\n#### Input shape:\n\n3D tensor with shape: `(batch, steps, features)`.\n\n#### Output shape:\n\n3D tensor with shape: `(batch, upsampled_steps, features)`."]]