set_trainability: Set Trainability of Layers in Model
In neuroimaginador/dl4ni: Deep Learning Flows for Neuroimaging
Description
Usage
Arguments
Value
Description
This function sets the trainable attribute of a subset of the layers
in a model to TRUE or FALSE.
Usage
1
set_trainability(.model, layer_names = NULL, trainability = FALSE)
Arguments
layer_names
(character vector) Names of the layers to set their trainable attribute.
trainability
(logical vector) New values for the trainable attribute of the selected layers.
model
(DLmodel) The model built by create_model_from_config.
Value
changes the trainable attribute in the selected layers in the model, in place.
neuroimaginador/dl4ni documentation built on May 3, 2019, 5:47 p.m.
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Description Usage Arguments Value
Description
This function sets the trainable attribute of a subset of the layers
in a model to TRUE or FALSE.
Usage
1 | set_trainability(.model, layer_names = NULL, trainability = FALSE)
|
Arguments
layer_names |
(character vector) Names of the layers to set their |
trainability |
(logical vector) New values for the |
model |
( |
Value
changes the trainable attribute in the selected layers in the model, in place.
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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