normalize: Normalize a Numpy array.
In kerasR: R Interface to the Keras Deep Learning Library
normalize R Documentation
Normalize a Numpy array.
Description
It is generally very important to normalize the data matrix before
fitting a neural network model in keras.
Usage
normalize(x, axis = -1, order = 2)
Arguments
x
Numpy array to normalize
axis
axis along which to normalize. (starts at 0). -1
order
Normalization order (e.g. 2 for L2 norm).
Author(s)
Taylor B. Arnold, taylor.arnold@acm.org
References
Chollet, Francois. 2015. Keras: Deep Learning library for Theano and TensorFlow.
kerasR documentation built on Aug. 17, 2022, 5:06 p.m.
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| normalize | R Documentation |
Normalize a Numpy array.
Description
It is generally very important to normalize the data matrix before fitting a neural network model in keras.
Usage
normalize(x, axis = -1, order = 2)
Arguments
x |
Numpy array to normalize |
axis |
axis along which to normalize. (starts at 0). -1 |
order |
Normalization order (e.g. 2 for L2 norm). |
Author(s)
Taylor B. Arnold, taylor.arnold@acm.org
References
Chollet, Francois. 2015. Keras: Deep Learning library for Theano and TensorFlow.
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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