code: def default_hyper_parameters(cls) -> Dict[str, Dict[str, Any]]:
      return {
          "layer_bgru": {"units": 128, "return_sequences": True},
          "layer_dropout": {"rate": 0.4},
          "layer_time_distributed": {},
          "layer_activation": {"activation": "softmax"},
      }
  
file_path: Kashgari/kashgari/tasks/labeling/cnn_lstm_model.py
imports: from typing import Dict, Any
  from tensorflow import keras
  from kashgari.layers import L
  from kashgari.tasks.labeling.abc_model import ABCLabelingModel
label_desc: Use image node_id 1 for calling the CNN_LSTM_Model obj's underlying member method code with example usage: obj.default_hyper_parameters(cls) and returns: dict