random_seed: Random Number Generation with Tensorflow
In stschn/deepANN: Neural Network Toolbox
random_seed R Documentation
Random Number Generation with Tensorflow
Description
Random Number Generation with Tensorflow
Usage
random_seed(seed)
Arguments
seed
Integer value(s) used as seeds for RNG.
Details
The combination of RNG from NumPy and Tensorflow allows to get reproducible results with Tensorflow/Keras.
See Also
Other Utils:
as_ANN_matrix(),
degree(),
distance(),
list_as_numeric(),
probability(),
radian(),
re.factor(),
sd_pop(),
similarity(),
var_pop(),
vector_as_ANN_matrix(),
vector_as_numeric()
stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.
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| random_seed | R Documentation |
Random Number Generation with Tensorflow
Description
Random Number Generation with Tensorflow
Usage
random_seed(seed)
Arguments
seed |
Integer value(s) used as seeds for RNG. |
Details
The combination of RNG from NumPy and Tensorflow allows to get reproducible results with Tensorflow/Keras.
See Also
Other Utils:
as_ANN_matrix(),
degree(),
distance(),
list_as_numeric(),
probability(),
radian(),
re.factor(),
sd_pop(),
similarity(),
var_pop(),
vector_as_ANN_matrix(),
vector_as_numeric()
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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