tf.keras.layers.RepeatVector
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Repeats the input n times.
Inherits From: Layer
tf.keras.layers.RepeatVector(
n, **kwargs
)
Example:
model = Sequential()
model.add(Dense(32, input_dim=32))
# now: model.output_shape == (None, 32)
# note: `None` is the batch dimension
model.add(RepeatVector(3))
# now: model.output_shape == (None, 3, 32)
Arguments |
n
|
Integer, repetition factor.
|
2D tensor of shape (num_samples, features)
.
Output shape:
3D tensor of shape (num_samples, n, 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01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.RepeatVector\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/layers/RepeatVector) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/keras/layers/core.py#L614-L654) |\n\nRepeats the input n times.\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.RepeatVector`](/api_docs/python/tf/keras/layers/RepeatVector)\n\n\u003cbr /\u003e\n\n tf.keras.layers.RepeatVector(\n n, **kwargs\n )\n\n#### Example:\n\n model = Sequential()\n model.add(Dense(32, input_dim=32))\n # now: model.output_shape == (None, 32)\n # note: `None` is the batch dimension\n\n model.add(RepeatVector(3))\n # now: model.output_shape == (None, 3, 32)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|-----|-----------------------------|\n| `n` | Integer, repetition factor. |\n\n\u003cbr /\u003e\n\n#### Input shape:\n\n2D tensor of shape `(num_samples, features)`.\n\n#### Output shape:\n\n3D tensor of shape `(num_samples, n, features)`."]]