code: def backend():
      """Publicly accessible method for determining the current backend.
  
      Returns:
          String, the name of the backend Keras is currently using. One of
              `"tensorflow"`, `"torch"`, or `"jax"`.
  
      Example:
  
      >>> keras.config.backend()
      'tensorflow'
  
      """
      return _BACKEND
  
file_path: keras/keras/backend/config.py
imports: import json
  import os
  from keras.api_export import keras_export
label_desc: Use image node_id 9 for calling a global function with example usage: backend() and returns: _BACKEND