Returns a tensor with normal distribution of values.
k_random_normal(shape, mean = 0, stddev = 1, dtype = NULL, seed = NULL)
A list of integers, the shape of tensor to create.
A float, mean of the normal distribution to draw samples.
A float, standard deviation of the normal distribution to draw samples.
String, dtype of returned tensor.
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://keras.rstudio.com/articles/backend.html#backend-functions.