TruncatedNormal¶
- class
dragon.vm.tensorflow.keras.initializers.TruncatedNormal(
mean=0,
stddev=1,
dtype='float32'
)[source]¶ Fill tensor from a truncated normal distribution.
\[\text{tensor} \sim \mathcal{TN}(\mu, \sigma^{2}, \mu - 2\sigma, \mu + 2\sigma) \]
__init__¶
TruncatedNormal.__init__(
mean=0,
stddev=1,
dtype='float32'
)[source]¶Create a
TruncatedNormalinitializer.- Parameters:
- mean (number, optional, default=0) – The value to \(\mu\).
- stddev (number, optional, default=1) – The value to \(\sigma\).
- dtype (str, optional, default='float32') – The data type to set as default.