k_truncated_normal
Returns a tensor with truncated random normal distribution of values.
Description
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.
Usage
k_truncated_normal(shape, mean = 0, stddev = 1, dtype = NULL, seed = NULL) Arguments
| Arguments | Description |
|---|---|
| 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. |
Section
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.
Value
A tensor.