set2DConvAutoencoder: Creating setting for 2-dimension convolutional autoencoder
In ABMI/RadiologyFeatureExtraction: Feature Extraction for Radiology data
View source: R/setAutoencoder.r
Description
Creating setting for 2-dimension convolutional autoencoder
Usage
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set2DConvAutoencoder(valProp = 0.3, epochs = 10, batchSize = batchSize,
poolingLayerNum = 3, kernelSize = 3, poolSize = 2,
optimizer = "adadelta", loss = "binary_crossentropy",
imageProcessingSettings = imageProcessingSettings)
Arguments
latentDim
ABMI/RadiologyFeatureExtraction documentation built on May 25, 2019, 3:59 a.m.
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View source: R/setAutoencoder.r
Description
Creating setting for 2-dimension convolutional autoencoder
Usage
1 2 3 4 | set2DConvAutoencoder(valProp = 0.3, epochs = 10, batchSize = batchSize,
poolingLayerNum = 3, kernelSize = 3, poolSize = 2,
optimizer = "adadelta", loss = "binary_crossentropy",
imageProcessingSettings = imageProcessingSettings)
|
Arguments
latentDim |
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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