tf-keras-skeleton.py 文件源码

def glorot_normal(seed=None):
      """Glorot normal initializer, also called Xavier normal initializer.

      It draws samples from a truncated normal distribution centered on 0
      with `stddev = sqrt(2 / (fan_in + fan_out))`
      where `fan_in` is the number of input units in the weight tensor
      and `fan_out` is the number of output units in the weight tensor.

      Arguments:
          seed: A Python integer. Used to seed the random generator.

      Returns:
          An initializer.

      References:
          Glorot & Bengio, AISTATS 2010
          http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf
      """
      return VarianceScaling(
          scale=1., mode='fan_avg', distribution='normal', seed=seed)