unroll: Unroll the Deep Belief Net
In xrobin/DeepLearning: Deep Learning of neural networks
Description
Usage
Arguments
Value
Examples
Description
Unrolling the DBN means stacking a reversed copy of itself. This create a (pre-trained) auto-encoder that can be
Usage
1
unroll(x)
Arguments
x
the dbn object
Value
the unrolled dbn with the unrolled switch is set to TRUE.
Examples
1
2
data(pretrained.mnist)
unrolled <- unroll(pretrained.mnist)
xrobin/DeepLearning documentation built on Sept. 18, 2020, 5:23 a.m.
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Description Usage Arguments Value Examples
Description
Unrolling the DBN means stacking a reversed copy of itself. This create a (pre-trained) auto-encoder that can be
Usage
1 | unroll(x)
|
Arguments
x |
the dbn object |
Value
the unrolled dbn with the unrolled switch is set to TRUE.
Examples
1 2 | data(pretrained.mnist)
unrolled <- unroll(pretrained.mnist)
|
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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