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

Mean of the values.

stddev

Standard deviation of the values.

dtype

String, dtype of returned tensor.

seed

Integer, random seed.

Value

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.