class_docstr: He initializer with weights sampled from the Normal distribution.
  
  See :class:`He` for a description of the parameters.
class_docstr_tok: ["He","initializer","with","weights","sampled","from","the","Normal","distribution",".","See",":","class",":","`","He","`","for","a","description","of","the","parameters","."]
code: def __init__(self, gain=1.0, c01b=False):
      super(HeNormal, self).__init__(Normal, 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 HeNormal object from inherited base classes: He with example: obj = HeNormal(gain, c01b)