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)

## Arguments

shape A list of integers, the shape of tensor to create. Mean of the values. Standard deviation of the values. String, dtype of returned tensor. Integer, random seed.

A tensor.

## Keras Backend

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://keras.rstudio.com/articles/backend.html#backend-functions.