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.
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