tf.random.normal

Aliases:

• tf.random.normal
• tf.random_normal

tf.random.normal(
    shape,
    mean=0.0,
    stddev=1.0,
    dtype=tf.dtypes.float32,
    seed=None,
    name=None
)

Defined in tensorflow/python/ops/random_ops.py.

Outputs random values from a normal distribution.

Args:

• shape: A 1-D integer Tensor or Python array. The shape of the output tensor.
• mean: A 0-D Tensor or Python value of type dtype. The mean of the normal distribution.
• stddev: A 0-D Tensor or Python value of type dtype. The standard deviation of the normal distribution.
• dtype: The type of the output.
• seed: A Python integer. Used to create a random seed for the distribution. See tf.set_random_seed for behavior.
• name: A name for the operation (optional).

Returns:

A tensor of the specified shape filled with random normal values.