class_docstr: Momentum SGD optimizer.
  
  Args:
      lr (float): Learning rate.
      momentum (float): Exponential decay rate of the first order moment.
class_docstr_tok: ["Momentum","SGD","optimizer",".","Args",":","lr","(","float",")",":","Learning","rate",".","momentum","(","float",")",":","Exponential","decay","rate","of","the","first","order","moment","."]
code: def create_update_rule(self):
      return MomentumSGDRule(self.hyperparam)
  
file_path: chainer/chainer/optimizers/momentum_sgd.py
imports: import chainer
  from chainer.backends import cuda
  from chainer.backends import intel64
  from chainer import optimizer
  from chainer import types
label_desc: Use image node_id 2 for calling the MomentumSGD obj's underlying member method code with example usage: obj.create_update_rule() and returns: MomentumSGDRule