class_docstr: BaseApplication represents an interface.
  
  Each application ``type_str`` should support to use
  the standard training and inference driver.
class_docstr_tok: ["BaseApplication","represents","an","interface",".","Each","application","``","type_str","``","should","support","to","use","the","standard","training","and","inference","driver","."]
docstr: This function create an instance of network and sets ``self.net``
  
  :return: None
docstr_tok: ["This","function","create","an","instance","of","network","and","sets","``","self.net","``",":","return",":","None"]
code: def initialise_network(self):
      """
      This function create an instance of network and sets ``self.net``
  
      :return: None
      """
      raise NotImplementedError
  
imports: import os
  from argparse import Namespace
  import tensorflow
  from six import with_metaclass
  from niftynet.engine.signal import TRAIN, INFER, EVAL
label_desc: Use image node_id 3 for calling the BaseApplication obj's underlying member method code with example usage: obj.initialise_network() without return types