visualize_saliency: visualize_saliency
In jkhseo/Keras-Vis:
Description
Usage
Arguments
Examples
Description
To do
Usage
1
2
visualize_saliency(model, selected_filters, layer_names,
save_folder = "Filter_Vis", num_iterations = 150L)
Arguments
model
Keras NN object
selected_filters
List of lists that contain the filter numbers that you want to visualize.
layer_names
List of layer names of the NN that you want to visualize.
save_folder
The name of the folder you want to save the images in. "Filter_Vis" is the default.
num_iterations
The number of iterations in the gradient ascent step.
Examples
1
jkhseo/Keras-Vis documentation built on May 7, 2019, 3:59 a.m.
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Description Usage Arguments Examples
Description
To do
Usage
1 2 | visualize_saliency(model, selected_filters, layer_names,
save_folder = "Filter_Vis", num_iterations = 150L)
|
Arguments
model |
Keras NN object |
selected_filters |
List of lists that contain the filter numbers that you want to visualize. |
layer_names |
List of layer names of the NN that you want to visualize. |
save_folder |
The name of the folder you want to save the images in. "Filter_Vis" is the default. |
num_iterations |
The number of iterations in the gradient ascent step. |
Examples
1 |
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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