Reshape: Reshapes an output to a certain shape.
In kerasR: R Interface to the Keras Deep Learning Library
Reshape R Documentation
Reshapes an output to a certain shape.
Description
Reshapes an output to a certain shape.
Usage
Reshape(target_shape, input_shape = NULL)
Arguments
target_shape
target shape. Tuple of integers, does not include
the samples dimension (batch size).
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, Permute,
RNN, RepeatVector,
Sequential
kerasR documentation built on Aug. 17, 2022, 5:06 p.m.
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| Reshape | R Documentation |
Reshapes an output to a certain shape.
Description
Reshapes an output to a certain shape.
Usage
Reshape(target_shape, input_shape = NULL)
Arguments
target_shape |
target shape. Tuple of integers, does not include the samples dimension (batch size). |
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, Permute,
RNN, RepeatVector,
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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