class_docstr: Interface for tensorflow models.
docstr: Get a dictionary of the model's learnable parameters.
docstr_tok: ["Get","a","dictionary","of","the","model","'s","learnable","parameters","."]
code: def state_dict(self):
      """
      Get a dictionary of the model's learnable parameters.
      """
      return self.model.get_weights()
  
imports: from __future__ import annotations
  from typing import Dict, Optional, Tuple, List, Union, Generator
  from keras.layers import Dense
  from keras import activations
  from keras import Model
  from keras.models import clone_model
  import numpy
  import tensorflow
  from warnings import warn
  from cachetools import cachedmethod, LRUCache
  import operator
  from quantus.helpers.model.model_interface import ModelInterface
  from quantus.helpers import utils
label_desc: Use image node_id 10 for calling the TensorFlowModel obj's underlying member method code with example usage: obj.state_dict() and returns: self