class_docstr: Glorot with weights sampled from the Uniform distribution.
  
  See :class:`Glorot` for a description of the parameters.
class_docstr_tok: ["Glorot","with","weights","sampled","from","the","Uniform","distribution",".","See",":","class",":","`","Glorot","`","for","a","description","of","the","parameters","."]
code: def __init__(self, gain=1.0, c01b=False):
      super(GlorotUniform, self).__init__(Uniform, gain, c01b)
  
imports: import numpy
  from .utils import floatX
  from .random import get_rng
label_desc: Use image node_id 1 to create a new GlorotUniform object from inherited base classes: Glorot with example: obj = GlorotUniform(gain, c01b)