class_docstr: Simon Funk's SMORMS3.
  
  See http://sifter.org/~simon/journal/20150420.html.
  
  Args:
      lr (float): Learning rate.
      eps (float): Small value for the numerical stability.
class_docstr_tok: ["Simon","Funk","'s","SMORMS3",".","See","http",":","\/\/sifter.org\/~simon\/journal\/20150420.html",".","Args",":","lr","(","float",")",":","Learning","rate",".","eps","(","float",")",":","Small","value","for","the","numerical","stability","."]
code: def __init__(
      self, lr=_default_hyperparam.lr, eps=_default_hyperparam.eps
  ):
      super(SMORMS3, self).__init__()
      self.hyperparam.lr = lr
      self.hyperparam.eps = eps
  
file_path: chainer/chainer/optimizers/smorms3.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 SMORMS3 object from inherited base classes: optimizer with example: obj = SMORMS3(lr, eps)