tf.keras.backend.random_normal
Returns a tensor with normal distribution of values.
tf.keras.backend.random_normal(
shape, mean=0.0, stddev=1.0, dtype=None, seed=None
)
It is an alias to tf.random.normal.
| Arguments | |
|---|---|
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. |
| Returns | |
|---|---|
| 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)>
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/backend/random_normal