tf.keras.layers.concatenate
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Functional interface to the Concatenate layer.
tf.keras.layers.concatenate(
inputs, axis=-1, **kwargs
)
Used in the notebooks
Args |
|---|
inputs
|
A list of input tensors.
|
axis
|
Concatenation axis.
|
**kwargs
|
Standard layer keyword arguments.
|
Returns |
|---|
A tensor, the concatenation of the inputs alongside axis axis.
|
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Last updated 2024-06-07 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.layers.concatenate\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/layers/merging/concatenate.py#L160-L172) |\n\nFunctional interface to the `Concatenate` layer. \n\n tf.keras.layers.concatenate(\n inputs, axis=-1, **kwargs\n )\n\n### Used in the notebooks\n\n| Used in the tutorials |\n|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| - [pix2pix: Image-to-image translation with a conditional GAN](https://www.tensorflow.org/tutorials/generative/pix2pix) - [Classify structured data using Keras preprocessing layers](https://www.tensorflow.org/tutorials/structured_data/preprocessing_layers) - [Streaming structured data from Elasticsearch using Tensorflow-IO](https://www.tensorflow.org/io/tutorials/elasticsearch) - [Tensorflow datasets from MongoDB collections](https://www.tensorflow.org/io/tutorials/mongodb) - [Quantum Convolutional Neural Network](https://www.tensorflow.org/quantum/tutorials/qcnn) |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|-----------------------------------|\n| `inputs` | A list of input tensors. |\n| `axis` | Concatenation axis. |\n| `**kwargs` | Standard layer keyword arguments. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor, the concatenation of the inputs alongside axis `axis`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub