nsubsequences: Number of subsequences within an array
In stschn/deepANN: Neural Network Toolbox
nsubsequences R Documentation
Number of subsequences within an array
Description
Number of subsequences within an array
Usage
nsubsequences(a)
Arguments
a
An array.
Details
The number of subsequences is stored in the second dimension of a four-dimensional a, usually used for a temporal CNN.
Value
Number of subsequences.
See Also
Other Single & Multi Layer Perceptron (SLP, MLP):
as_MLP_X(),
as_MLP_Y(),
as_tensor_1d(),
as_tensor_2d(),
as_tensor_3d(),
build_MLP(),
fit_MLP(),
load_weights_ANN(),
nsamples(),
ntimesteps(),
nunits(),
predict_ANN(),
save_weights_ANN()
stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.
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.
| nsubsequences | R Documentation |
Number of subsequences within an array
Description
Number of subsequences within an array
Usage
nsubsequences(a)
Arguments
a |
An array. |
Details
The number of subsequences is stored in the second dimension of a four-dimensional a, usually used for a temporal CNN.
Value
Number of subsequences.
See Also
Other Single & Multi Layer Perceptron (SLP, MLP):
as_MLP_X(),
as_MLP_Y(),
as_tensor_1d(),
as_tensor_2d(),
as_tensor_3d(),
build_MLP(),
fit_MLP(),
load_weights_ANN(),
nsamples(),
ntimesteps(),
nunits(),
predict_ANN(),
save_weights_ANN()
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.