class_docstr: Abstract class for defining the loss function to be minimized.
  The loss function should be built by defining `build_loss` function.
  
  The attribute `name` should be defined to identify loss function with verbose outputs.
  Defaults to 'Unnamed Loss' if not overridden.
class_docstr_tok: ["Abstract","class","for","defining","the","loss","function","to","be","minimized",".","The","loss","function","should","be","built","by","defining","`","build_loss","`","function",".","The","attribute","`","name","`","should","be","defined","to","identify","loss","function","with","verbose","outputs",".","Defaults","to","'Unnamed","Loss","'","if","not","overridden","."]
code: def __str__(self):
      return self.name
  
file_path: keras-vis/vis/losses.py
imports: from __future__ import absolute_import
  from keras import backend
  from .utils import utils
label_desc: Use image node_id 2 for calling the Loss obj's underlying member method code with example usage: obj.__str__() and returns: self