parameters: (scale=DefaultParamInitScale, output_rank=SentinelValueForInferParamInitRank, filter_rank=SentinelValueForInferParamInitRank, seed=None)
return_statement: return cntk_py.glorot_uniform_initializer(scale, output_rank, filter_rank, seed)
docstring: Glorot initializer
  
      Args:
          scale (float): scale
          output_rank (int): output rank
          filter_rank (int): filter rank
          seed (int): random seed
  
      Returns:
          initializer for :class:`~cntk.variables.Parameter`
          initialized to uniform distribution between
          $$scale*sqrt(6.0/(fanIn+fanOut))*[-1,1]$$
docstring_summary: Glorot initializer
docstring_tokens: Glorot initializer
function: def glorot_uniform(scale=DefaultParamInitScale, output_rank=SentinelValueForInferParamInitRank, filter_rank=SentinelValueForInferParamInitRank, seed=None):
      '''
      Glorot initializer
  
      Args:
          scale (float): scale
          output_rank (int): output rank
          filter_rank (int): filter rank
          seed (int): random seed
  
      Returns:
          initializer for :class:`~cntk.variables.Parameter`
          initialized to uniform distribution between
          $$scale*sqrt(6.0/(fanIn+fanOut))*[-1,1]$$
      '''
      if seed is None:
          seed = SentinelValueForAutoSelectRandomSeed
  
      return cntk_py.glorot_uniform_initializer(scale, output_rank, filter_rank, seed)
function_tokens: def glorot_uniform ( scale = DefaultParamInitScale , output_rank = SentinelValueForInferParamInitRank , filter_rank = SentinelValueForInferParamInitRank , seed = None ) : if seed is None : seed = SentinelValueForAutoSelectRandomSeed return cntk_py . glorot_uniform_initializer ( scale , output_rank , filter_rank , seed )