tf.keras.backend.mean
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Mean of a tensor, alongside the specified axis.
tf.keras.backend.mean(
x, axis=None, keepdims=False
)
Arguments |
x
|
A tensor or variable.
|
axis
|
A list of integer. Axes to compute the mean.
|
keepdims
|
A boolean, whether to keep the dimensions or not.
If keepdims is False , the rank of the tensor is reduced
by 1 for each entry in axis . If keepdims is True ,
the reduced dimensions are retained with length 1.
|
Returns |
A tensor with the mean of elements of x .
|
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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01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.backend.mean\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/backend/mean) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/keras/backend.py#L2100-L2117) |\n\nMean of a tensor, alongside the specified axis.\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.backend.mean`](/api_docs/python/tf/keras/backend/mean)\n\n\u003cbr /\u003e\n\n tf.keras.backend.mean(\n x, axis=None, keepdims=False\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `x` | A tensor or variable. |\n| `axis` | A list of integer. Axes to compute the mean. |\n| `keepdims` | A boolean, whether to keep the dimensions or not. If `keepdims` is `False`, the rank of the tensor is reduced by 1 for each entry in `axis`. If `keepdims` is `True`, the reduced dimensions are retained with length 1. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor with the mean of elements of `x`. ||\n\n\u003cbr /\u003e"]]