rbmUpdate: Function for updating the weights and biases of an 'RBM'
In darch: Package for Deep Architectures and Restricted Boltzmann Machines
Description
Usage
Arguments
Value
See Also
Description
This function updates the weights and biases for an RBM
network. It is saved in the attribute updateFunction of the
RBM object and called from the training function
trainRBM.
Usage
1
rbmUpdate(rbm, matMult = getParameter(".matMult", net = rbm))
Arguments
rbm
A instance of the class RBM.
matMult
Matrix multiplication function.
...
Additional arguments.
Value
The updated RBM.
See Also
darch documentation built on May 29, 2017, 8:14 p.m.
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Description Usage Arguments Value See Also
Description
This function updates the weights and biases for an RBM
network. It is saved in the attribute updateFunction of the
RBM object and called from the training function
trainRBM.
Usage
1 | rbmUpdate(rbm, matMult = getParameter(".matMult", net = rbm))
|
Arguments
rbm |
A instance of the class |
matMult |
Matrix multiplication function. |
... |
Additional arguments. |
Value
The updated RBM.
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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