get_output_activations: Get activation functions of output layers
In GenomeNet/deepG: Deep Learning for Genome Sequence Data
View source: R/create_model_utils.R
get_output_activations R Documentation
Get activation functions of output layers
Description
Get activation functions of output layers.
Usage
get_output_activations(model)
Arguments
model
A keras model.
Value
Character vector with names of activation functions of model outputs.
Examples
model <- create_model_lstm_cnn(
maxlen = 50,
layer_lstm = 8,
layer_dense = c(64, 2),
verbose = FALSE)
get_output_activations(model)
GenomeNet/deepG documentation built on Dec. 24, 2024, 12:11 p.m.
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View source: R/create_model_utils.R
| get_output_activations | R Documentation |
Get activation functions of output layers
Description
Get activation functions of output layers.
Usage
get_output_activations(model)
Arguments
model |
A keras model. |
Value
Character vector with names of activation functions of model outputs.
Examples
model <- create_model_lstm_cnn(
maxlen = 50,
layer_lstm = 8,
layer_dense = c(64, 2),
verbose = FALSE)
get_output_activations(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.
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