tf.keras.backend.random_normal

Returns a tensor with normal distribution of values.

Used in the notebooks

Used in the guide

It is an alias to tf.random.normal.

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.

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)>