get_activations: Calculate activations.
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions
Description
Usage
Arguments
Value
Author(s)
Description
Calculate first-layer convolutional filter activations.
Usage
1
get_activations(model, input_layer = NULL, output_layer, data)
Arguments
model
A Keras model.
input_layer
Integer value denoting the input data. If NULL, assumes a single input layer.
output_layer
Integer denoting output layer or string containing the layer name.
data
Data array returned from one_hot to obtain activations for.
Value
Array of activations.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
mPloenzke/learnMotifs documentation built on May 27, 2019, 11:55 a.m.
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Description Usage Arguments Value Author(s)
Description
Calculate first-layer convolutional filter activations.
Usage
1 | get_activations(model, input_layer = NULL, output_layer, data)
|
Arguments
model |
A |
input_layer |
Integer value denoting the input data. If NULL, assumes a single input layer. |
output_layer |
Integer denoting output layer or string containing the layer name. |
data |
Data array returned from |
Value
Array of activations.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
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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