public class
TruncatedNormal
Initializer that generates a truncated normal distribution.
Examples:
long seed = 1001l;
TruncatedNormal<TFloat32, TFloat32> initializer =
new org.tensorflow.framework.initializers.TruncatedNormal<>(tf, seed);
Operand<TFloat32> values =
initializer.call(tf.constant(Shape.of(2,2)), TFloat32.class);
Constants
| double | MEAN_DEFAULT | |
| double | STDDEV_DEFAULT |
Public Constructors
|
TruncatedNormal(Ops tf, long seed)
Creates a TruncatedNormal Initializer using
MEAN_DEFAULT for the mean and STDDEV_DEFAULT for the standard deviation. |
|
|
TruncatedNormal(Ops tf, double mean, double stddev, long seed)
Creates a TruncatedNormal Initializer.
|
Public Methods
Inherited Methods
| Ops |
getTF()
Gets the TensorFlow Ops
|
| boolean |
equals(Object arg0)
|
| final Class<?> |
getClass()
|
| int |
hashCode()
|
| final void |
notify()
|
| final void |
notifyAll()
|
| String |
toString()
|
| final void |
wait(long arg0, int arg1)
|
| final void |
wait(long arg0)
|
| final void |
wait()
|
Constants
public static final double MEAN_DEFAULT
Constant Value:
0.0
public static final double STDDEV_DEFAULT
Constant Value:
0.05
Public Constructors
public TruncatedNormal (Ops tf, long seed)
Creates a TruncatedNormal Initializer using MEAN_DEFAULT for the mean and STDDEV_DEFAULT for the standard deviation.
Parameters
| tf | the TensorFlow Ops |
|---|---|
| seed | the seed for random number generation. An initializer created with a given seed will always produce the same random tensor for a given shape and dtype. |
public TruncatedNormal (Ops tf, double mean, double stddev, long seed)
Creates a TruncatedNormal Initializer.
Parameters
| tf | the TensorFlow Ops |
|---|---|
| mean | Mean of the random values to generate. |
| stddev | Standard deviation of the random values to generate. |
| seed | the seed for random number generation. An initializer created with a given seed will always produce the same random tensor for a given shape and dtype. |