backprop_r: backprop_r
In rnn: Recurrent Neural Network
backprop_r R Documentation
backprop_r
Description
backpropagate the error in a model object
Usage
backprop_r(model, a, c, j, ...)
Arguments
model
the output model object
a
the input of this learning batch
c
the output of this learning batch
j
the indexes of the sample in the current batch
...
argument to be passed to method
Value
the updated model
rnn documentation built on April 22, 2023, 1:12 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.
| backprop_r | R Documentation |
backprop_r
Description
backpropagate the error in a model object
Usage
backprop_r(model, a, c, j, ...)
Arguments
model |
the output model object |
a |
the input of this learning batch |
c |
the output of this learning batch |
j |
the indexes of the sample in the current batch |
... |
argument to be passed to method |
Value
the updated model
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.