layer_topN_max_pooling: Top max-pooled hits
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Calculate the top N motif hits max-pooled over the entire sequence. This function uses the keras k_max function which internally
converts the input to its pre-activation scale. Therefore we recommend using the linear activation for the layer feeding into
this one and then using the layer_activation function after the operation.
Usage
1
layer_topN_max_pooling(object, n_max, name = NULL)
Arguments
object
Keras model.
n_max
Number of top hits to return.
name
Layer name (optional).
Value
Top max-pooled hits layer.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
mPloenzke/learnMotifs documentation built on May 27, 2019, 11:55 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Calculate the top N motif hits max-pooled over the entire sequence. This function uses the keras k_max function which internally
converts the input to its pre-activation scale. Therefore we recommend using the linear activation for the layer feeding into
this one and then using the layer_activation function after the operation.
Usage
1 | layer_topN_max_pooling(object, n_max, name = NULL)
|
Arguments
object |
Keras model. |
n_max |
Number of top hits to return. |
name |
Layer name (optional). |
Value
Top max-pooled hits layer.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
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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