code: def hidden_layers(model, params, last_neuron):
      """HIDDEN LAYER Generator
  
      NOTE: 'shapes', 'first_neuron', 'dropout', and 'hidden_layers' need
      to be present in the params dictionary.
  
      Hidden layer generation for the cases where number
      of layers is used as a variable in the optimization process.
      Handles things in a way where any number of layers can be tried
      with matching hyperparameters."""
  
      # check for the params that are required for hidden_layers
  
      from tensorflow.keras.layers import Dense, Dropout
      from .network_shape import network_shape
      from ..utils.exceptions import TalosParamsError
  
      required = [
          "shapes",
          "first_neuron",
          "dropout",
          "hidden_layers",
          "activation",
      ]
      for param in required:
          if param not in params:
              message = (
                  "hidden_layers requires '" + param + "' in params"
              )
              raise TalosParamsError(message)
  
      layer_neurons = network_shape(params, last_neuron)
  
      for i in range(params["hidden_layers"]):
          model.add(
              Dense(
                  layer_neurons[i],
                  kernel_initializer=params.get(
                      "kernel_initializer", "glorot_uniform"
                  ),
                  kernel_regularizer=params.get("kernel_regularizer"),
                  bias_initializer=params.get(
                      "bias_initializer", "zeros"
                  ),
                  bias_regularizer=params.get("bias_regularizer"),
                  use_bias=params.get("use_bias", True),
                  activity_regularizer=params.get(
                      "activity_regularizer"
                  ),
                  kernel_constraint=params.get("kernel_constraint"),
                  bias_constraint=params.get("bias_constraint"),
                  activation=params.get("activation"),
              )
          )
          model.add(Dropout(params["dropout"]))
  
label_desc: Use image node_id 1 for calling a global function with example usage: hidden_layers(model, params, last_neuron) without return types