TruncatedNormalInitializer¶
- class paddle.fluid.initializer. TruncatedNormalInitializer ( loc=0.0, scale=1.0, seed=0 ) [source]
-
Implements the Random TruncatedNormal(Gaussian) distribution initializer
- Parameters
-
loc (float) – mean of the normal distribution
scale (float) – standard deviation of the normal distribution
seed (int) – random seed
Examples
import paddle.fluid as fluid x = fluid.data(name='x', shape=[None, 1], dtype='float32') fc = fluid.layers.fc(input=x, size=10, param_attr=fluid.initializer.TruncatedNormal(loc=0.0, scale=2.0))