class_docstr: This callback allows counting model parameters during training.
  
  Attributes:
      num_parameters: The number of parameters of the model. This attribute should only be
          accessed after training.
class_docstr_tok: ["This","callback","allows","counting","model","parameters","during","training",".","Attributes",":","num_parameters",":","The","number","of","parameters","of","the","model",".","This","attribute","should","only","be","accessed","after","training","."]
code: def __init__(self) -> None:
      self.num_parameters = 0
  
imports: import numpy
  from mxnet.gluon import nn
  from .base import Callback
label_desc: Use image node_id 1 to create a new ParameterCountCallback object from inherited base classes: Callback with example: obj = ParameterCountCallback()