op_softplus: Softplus
In joeddav/CNTK-R: R Interface to the Microsoft Cognitive Toolkit (CNTK)
Description
Usage
Arguments
Details
Description
Softplus operation. Computes the element-wise softplus of x:
Usage
1
op_softplus(x, steepness = 1, name = "")
Arguments
x
matrix or CNTK Function that outputs a tensor
name
(str) the name of the Function instance in the network
Details
softplus(x)=log(1+exp(x))softplus(x)=log(1+exp(x))
The optional steepness allows to make the knee sharper (steepness>1) or
softer, by computing softplus(x * steepness) / steepness. (For very large
steepness, this approaches a linear rectifier).
The output tensor has the same shape as x.
joeddav/CNTK-R documentation built on May 6, 2019, 7:28 a.m.
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Description Usage Arguments Details
Description
Softplus operation. Computes the element-wise softplus of x:
Usage
1 | op_softplus(x, steepness = 1, name = "")
|
Arguments
x |
matrix or CNTK Function that outputs a tensor |
name |
(str) the name of the Function instance in the network |
Details
softplus(x)=log(1+exp(x))softplus(x)=log(1+exp(x))
The optional steepness allows to make the knee sharper (steepness>1) or softer, by computing softplus(x * steepness) / steepness. (For very large steepness, this approaches a linear rectifier).
The output tensor has the same shape as x.
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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