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 __init__(
      self,
      lr=_default_hyperparam.lr,
      momentum=_default_hyperparam.momentum,
  ):
      super(NesterovAG, self).__init__()
      self.hyperparam.lr = lr
      self.hyperparam.momentum = momentum
  
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 1 to create a new NesterovAG object from inherited base classes: optimizer with example: obj = NesterovAG(lr, momentum)