UpSampling: UpSampling layers.
In kerasR: R Interface to the Keras Deep Learning Library
UpSampling R Documentation
UpSampling layers.
Description
Repeats each temporal step size a given number of times.
Usage
UpSampling1D(size = 2, input_shape = NULL)
UpSampling2D(size = c(2, 2), data_format = NULL, input_shape = NULL)
UpSampling3D(size = c(2, 2, 2), data_format = NULL, input_shape = NULL)
Arguments
size
integer. Upsampling factor.
input_shape
only need when first layer of a model;
sets the input shape of the data
data_format
A string, one of channels_last
(default) or channels_first.
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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| UpSampling | R Documentation |
UpSampling layers.
Description
Repeats each temporal step size a given number of times.
Usage
UpSampling1D(size = 2, input_shape = NULL) UpSampling2D(size = c(2, 2), data_format = NULL, input_shape = NULL) UpSampling3D(size = c(2, 2, 2), data_format = NULL, input_shape = NULL)
Arguments
size |
integer. Upsampling factor. |
input_shape |
only need when first layer of a model; sets the input shape of the data |
data_format |
A string, one of channels_last (default) or channels_first. |
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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