class_docstr: Zeiler's ADADELTA.
  
  See: http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf
  
  Args:
      rho (float): Exponential decay rate of the first and second order
          moments.
      eps (float): Small value for the numerical stability.
class_docstr_tok: ["Zeiler","'s","ADADELTA",".","See",":","http",":","\/\/www.matthewzeiler.com\/pubs\/googleTR2012\/googleTR2012.pdf","Args",":","rho","(","float",")",":","Exponential","decay","rate","of","the","first","and","second","order","moments",".","eps","(","float",")",":","Small","value","for","the","numerical","stability","."]
code: def __init__(
      self, rho=_default_hyperparam.rho, eps=_default_hyperparam.eps
  ):
      super(AdaDelta, self).__init__()
      self.hyperparam.rho = rho
      self.hyperparam.eps = eps
  
file_path: chainer/chainer/optimizers/ada_delta.py
imports: import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import optimizer
  from chainer import types
label_desc: Use image node_id 1 to create a new AdaDelta object from inherited base classes: optimizer with example: obj = AdaDelta(rho, eps)