tf.random.normal

TensorFlow 1 version View source on GitHub

Outputs random values from a normal distribution.

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

Used in the notebooks

Used in the guide Used in the tutorials

Args:

  • shape: A 1-D integer Tensor or Python array. The shape of the output tensor.
  • mean: A Tensor or Python value of type dtype, broadcastable with stddev. The mean of the normal distribution.
  • stddev: A Tensor or Python value of type dtype, broadcastable with mean. 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.compat.v1.set_random_seed for behavior.
  • name: A name for the operation (optional).

Returns:

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