tf.keras.backend.random_normal
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Returns a tensor with normal distribution of values.
tf.keras.backend.random_normal(
shape, mean=0.0, stddev=1.0, dtype=None, seed=None
)
It is an alias to tf.random.normal.
Arguments |
|---|
shape
|
A tuple of integers, the shape of tensor to create.
|
mean
|
A float, the mean value of the normal distribution to draw samples.
Default to 0.0.
|
stddev
|
A float, the standard deviation of the normal distribution
to draw samples. Default to 1.0.
|
dtype
|
tf.dtypes.DType, dtype of returned tensor. Default to use Keras
backend dtype which is float32.
|
seed
|
Integer, random seed. Will use a random numpy integer when not
specified.
|
Returns |
|---|
|
A tensor with normal distribution of values.
|
Example:
random_normal_tensor = tf.keras.backend.random_normal(shape=(2,3),
mean=0.0, stddev=1.0)
random_normal_tensor
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=...,
dtype=float32)>
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.random_normal\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/backend/random_normal) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.3.0/tensorflow/python/keras/backend.py#L5785-L5819) |\n\nReturns a tensor with normal distribution of values.\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.random_normal`](/api_docs/python/tf/keras/backend/random_normal)\n\n\u003cbr /\u003e\n\n tf.keras.backend.random_normal(\n shape, mean=0.0, stddev=1.0, dtype=None, seed=None\n )\n\nIt is an alias to [`tf.random.normal`](../../../tf/random/normal).\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|----------|-------------------------------------------------------------------------------------------------------------------------------|\n| `shape` | A tuple of integers, the shape of tensor to create. |\n| `mean` | A float, the mean value of the normal distribution to draw samples. Default to 0.0. |\n| `stddev` | A float, the standard deviation of the normal distribution to draw samples. Default to 1.0. |\n| `dtype` | [`tf.dtypes.DType`](../../../tf/dtypes/DType), dtype of returned tensor. Default to use Keras backend dtype which is float32. |\n| `seed` | Integer, random seed. Will use a random numpy integer when not specified. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor with normal distribution of values. ||\n\n\u003cbr /\u003e\n\n#### Example:\n\n random_normal_tensor = tf.keras.backend.random_normal(shape=(2,3),\n mean=0.0, stddev=1.0)\n random_normal_tensor\n \u003ctf.Tensor: shape=(2, 3), dtype=float32, numpy=...,\n dtype=float32)\u003e"]]
TensorFlow 1 version
View source on GitHub