Outputs random values from a normal distribution.

Used in the notebooks

Used in the guide Used in the tutorials

Example that generates a new set of random values every time:

tf.random.normal([4], 0, 1, tf.float32)
<tf.Tensor: shape=(4,), dtype=float32, numpy=..., dtype=float32)>

Example that outputs a reproducible result:

tf.random.normal([2,2], 0, 1, tf.float32, seed=1)
<tf.Tensor: shape=(2, 2), dtype=float32, numpy=
array([[-1.3768897 , -0.01258316],
      [-0.169515   ,  1.0824056 ]], dtype=float32)>

In this case, we are setting both the global and operation-level seed to ensure this result is reproducible. See tf.random.set_seed for more information.