k_hard_sigmoid: Segment-wise linear approximation of sigmoid.
In keras: R Interface to 'Keras'
k_hard_sigmoid R Documentation
Segment-wise linear approximation of sigmoid.
Description
Faster than sigmoid.
Returns 0. if x < -2.5, 1. if x > 2.5.
In -2.5 <= x <= 2.5, returns 0.2 * x + 0.5.
Usage
k_hard_sigmoid(x)
Arguments
x
A tensor or variable.
Value
A tensor.
Keras Backend
This function is part of a set of Keras backend functions that enable
lower level access to the core operations of the backend tensor engine
(e.g. TensorFlow, CNTK, Theano, etc.).
You can see a list of all available backend functions here:
https://tensorflow.rstudio.com/reference/keras/index.html#backend.
keras documentation built on May 29, 2024, 3:20 a.m.
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| k_hard_sigmoid | R Documentation |
Segment-wise linear approximation of sigmoid.
Description
Faster than sigmoid.
Returns 0. if x < -2.5, 1. if x > 2.5.
In -2.5 <= x <= 2.5, returns 0.2 * x + 0.5.
Usage
k_hard_sigmoid(x)
Arguments
x |
A tensor or variable. |
Value
A tensor.
Keras Backend
This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).
You can see a list of all available backend functions here: https://tensorflow.rstudio.com/reference/keras/index.html#backend.
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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