Using tf.random.normal()

tf.random.normal() outputs a tensor of the given shape filled with values of the dtype type from a normal distribution.

The required signature is as follows:

tf. random.normal(shape, mean = 0, stddev =2, dtype=tf.float32, seed=None, name=None)

Take this, for example:

tf.random.normal(shape = (3,2), mean=10, stddev=2, dtype=tf.float32, seed=None,  name=None)
ran = tf.random.normal(shape = (3,2), mean=10.0, stddev=2.0)
print(ran)

The output will be as follows:

<tf.Tensor: id=13, shape=(3, 2), dtype=float32, numpy= array([[ 8.537131 , 7.6625767], [10.925293 , 11.804686 ], [ 9.3763075, 6.701221 ]], dtype=float32)>