layer_to_dense_stereo: Split Model into Two Parallel Layers
In tpq/caress: Caress, a Gentler Introduction to Keras
Description
Usage
Arguments
Value
View source: R/2-layers-stereo.R
Description
This function splits the input into two parallel layers.
Each layer has the same architecture, but is influenced
by different weights.
Usage
1
Arguments
object
A keras model.
units, activation, ...
Arguments passed to keras::layer_dense.
name
A string. The prefix label for all layers.
Value
A list of two layers: Channel 1 and Channel 2.
tpq/caress documentation built on March 11, 2021, 8:03 p.m.
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Description Usage Arguments Value
View source: R/2-layers-stereo.R
Description
This function splits the input into two parallel layers. Each layer has the same architecture, but is influenced by different weights.
Usage
1 |
Arguments
object |
A |
units, activation, ... |
Arguments passed to |
name |
A string. The prefix label for all layers. |
Value
A list of two layers: Channel 1 and Channel 2.
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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