class_docstr: Returns the input with added zero-mean Gaussian noise as analysis.
  
  :param model: A Keras model.
  :param stddev: The standard deviation of the noise.
class_docstr_tok: ["Returns","the","input","with","added","zero-mean","Gaussian","noise","as","analysis",".",":","param","model",":","A","Keras","model",".",":","param","stddev",":","The","standard","deviation","of","the","noise","."]
code: def _get_state(self):
      state = super()._get_state()
      state.update({"stddev": self._stddev})
      return state
  
file_path: innvestigate/src/innvestigate/analyzer/misc.py
imports: from __future__ import annotations
  import innvestigate.backend
  import innvestigate.layers
  from innvestigate.analyzer.network_base import AnalyzerNetworkBase
  from innvestigate.backend.types import Tensor
label_desc: Use image node_id 3 for calling the Random obj's underlying member method code with example usage: obj._get_state() and returns: state