tf.keras.backend.random_normal

Returns a tensor with normal distribution of values.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.random_normal

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)>