Class that specifies parameters of the neural network weights and biases truncated gaussian initializer.
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◆ getA()
Returns the left bound a of the truncation range from which the random values are selected
- Returns
- Left bound of the truncation range
◆ getB()
Returns the right bound b of the truncation range from which the random values are selected
- Returns
- Right bound of the truncation range
◆ getMean()
Returns the distribution mean
- Returns
- The distribution mean
◆ getSigma()
Returns the standard deviation of the distribution
- Returns
- The standard deviation of the distribution
◆ setA()
Sets the left bound a of the truncation range from which the random values are selected
- Parameters
-
a | Left bound of the truncation range |
◆ setB()
Sets the right bound b of the truncation range from which the random values are selected
- Parameters
-
b | Right bound of the truncation range |
◆ setMean()
void setMean |
( |
double |
mean | ) |
|
Sets the distribution mean
- Parameters
-
mean | The distribution mean |
◆ setSigma()
void setSigma |
( |
double |
sigma | ) |
|
Sets the standard deviation of the distribution
- Parameters
-
sigma | The standard deviation of the distribution |
The documentation for this class was generated from the following file:
- TruncatedGaussianParameter.java