The generated values follow a normal distribution with specified mean and standard deviation, except that values whose magnitude is more than two standard deviations from the mean are dropped and re-picked.

`k_truncated_normal(shape, mean = 0, stddev = 1, dtype = NULL, seed = NULL)`

A tensor.

- shape
A list of integers, the shape of tensor to create.

- mean
Mean of the values.

- stddev
Standard deviation of the values.

- dtype
String, dtype of returned tensor.

- seed
Integer, random seed.

This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

You can see a list of all available backend functions here: https://tensorflow.rstudio.com/reference/keras/index.html#backend.