Permute: Permutes the dimensions of the input according to a given...
In kerasR: R Interface to the Keras Deep Learning Library
Permute R Documentation
Permutes the dimensions of the input according to a given pattern.
Description
Permutes the dimensions of the input according to a given pattern.
Usage
Permute(dims, input_shape = NULL)
Arguments
dims
vector of integers. Permutation pattern,
does not include the samples dimension.
Indexing starts at 1.
input_shape
only need when first layer of a model;
sets the input shape of the data
Author(s)
Taylor B. Arnold, taylor.arnold@acm.org
References
Chollet, Francois. 2015. Keras: Deep Learning library for Theano and TensorFlow.
See Also
Other layers: Activation,
ActivityRegularization,
AdvancedActivation,
BatchNormalization, Conv,
Dense, Dropout,
Embedding, Flatten,
GaussianNoise, LayerWrapper,
LocallyConnected, Masking,
MaxPooling, RNN,
RepeatVector, Reshape,
Sequential
kerasR documentation built on Aug. 17, 2022, 5:06 p.m.
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| Permute | R Documentation |
Permutes the dimensions of the input according to a given pattern.
Description
Permutes the dimensions of the input according to a given pattern.
Usage
Permute(dims, input_shape = NULL)
Arguments
dims |
vector of integers. Permutation pattern, does not include the samples dimension. Indexing starts at 1. |
input_shape |
only need when first layer of a model; sets the input shape of the data |
Author(s)
Taylor B. Arnold, taylor.arnold@acm.org
References
Chollet, Francois. 2015. Keras: Deep Learning library for Theano and TensorFlow.
See Also
Other layers: Activation,
ActivityRegularization,
AdvancedActivation,
BatchNormalization, Conv,
Dense, Dropout,
Embedding, Flatten,
GaussianNoise, LayerWrapper,
LocallyConnected, Masking,
MaxPooling, RNN,
RepeatVector, Reshape,
Sequential
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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