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 __init__(self):
      self.name = "Unnamed Loss"
  
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 1 to create a new Loss object from inherited base classes: object with example: obj = Loss()