class_docstr: Initialize parameter sampling from the normal distribution.
  
  Parameters
  ----------
  mean : int, float
      Mean of the normal distribution.
  
  std : int, float
      Standard deviation of the normal distribution.
  
  seed : None or int
      Random seed. Integer value will make results reproducible.
      Defaults to ``None``.
  
  Methods
  -------
  {Initializer.Methods}
class_docstr_tok: ["Initialize","parameter","sampling","from","the","normal","distribution",".","Parameters","--","--","--","--","--","mean",":","int",",","float","Mean","of","the","normal","distribution",".","std",":","int",",","float","Standard","deviation","of","the","normal","distribution",".","seed",":","None","or","int","Random","seed",".","Integer","value","will","make","results","reproducible",".","Defaults","to","``","None","``",".","Methods","--","--","--","-","{","Initializer.Methods","}"]
code: def __repr__(self):
      return "{}(mean={}, std={})".format(
          classname(self), self.mean, self.std
      )
  
imports: import abc
  import six
  import numpy
  import tensorflow
  from neupy.core.docs import SharedDocsABCMeta
label_desc: Use image node_id 3 for calling the Normal obj's underlying member method code with example usage: obj.__repr__() and returns: str