code: def get_multidepth_mlp_eg1(class_or_reg):
      """Multi depth MLP eg 1."""
      (
          layer_labels,
          num_units_in_each_layer,
          edges,
          mlp_layer_labels,
      ) = _get_multidepth_mlp_eg12_common(class_or_reg)
      conn_mat = get_dok_mat_with_set_coords(len(layer_labels), edges)
      return MultiLayerPerceptron(
          class_or_reg,
          layer_labels,
          conn_mat,
          num_units_in_each_layer,
          mlp_layer_labels,
      )
  
imports: import numpy
  from scipy.sparse import dok_matrix
  from .neural_network import ConvNeuralNetwork, MultiLayerPerceptron, get_cnn_layer_labels, get_mlp_layer_labels, is_a_conv_layer_label
  from .nn_modifiers import NNModifier
  from ..utils.general_utils import get_dok_mat_with_set_coords
label_desc: Use image node_id 12 for calling a global function with example usage: get_multidepth_mlp_eg1(class_or_reg) and returns: MultiLayerPerceptron