class_docstr: Nesterov's Accelerated Gradient.
  
  See: https://arxiv.org/abs/1212.0901
  
  Args:
      lr (float): Learning rate.
      momentum (float): Exponential decay rate of the first order moment.
class_docstr_tok: ["Nesterov","'s","Accelerated","Gradient",".","See",":","https",":","\/\/arxiv.org\/abs\/1212.0901","Args",":","lr","(","float",")",":","Learning","rate",".","momentum","(","float",")",":","Exponential","decay","rate","of","the","first","order","moment","."]
code: def create_update_rule(self):
      return NesterovAGRule(self.hyperparam)
  
file_path: chainer/chainer/optimizers/nesterov_ag.py
imports: import chainer
  from chainer.backends import cuda
  from chainer import optimizer
  from chainer import types
label_desc: Use image node_id 2 for calling the NesterovAG obj's underlying member method code with example usage: obj.create_update_rule() and returns: NesterovAGRule