class_docstr: Randomized Leaky rectifier unit.
class_docstr_tok: ["Randomized","Leaky","rectifier","unit","."]
code: def __init__(self, lower=1.0 / 8, upper=1.0 / 3, r=None):
      if not 0.0 <= lower < 1.0:
          raise ValueError("lower must be in the range [0, 1)")
      if not 0.0 <= upper < 1.0:
          raise ValueError("upper must be in the range [0, 1)")
      if not lower < upper:
          raise ValueError("lower must be less than upper")
      self.lower = lower
      self.upper = upper
      self.r = r
  
imports: import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.utils import argument
  from chainer.utils import type_check
label_desc: Use image node_id 1 to create a new RReLU object from inherited base classes: function_node with example: obj = RReLU(lower, upper, r)