k_truncated_normal: Returns a tensor with truncated random normal distribution of...
In dfalbel/keras: R Interface to 'Keras'
Description
Usage
Arguments
Value
Keras Backend
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
1
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.
dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.
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Description Usage Arguments Value Keras Backend
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
1 | 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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