code: def get_multidepth_cnn_eg2():
      """A network with 2 softmax layers mostly for debugging."""
      (
          layer_labels,
          edges,
          num_filters_each_layer,
          cnn_layer_labels,
          strides,
      ) = _get_multidepth_cnn_eg12_common()
      edges.append((6, 8))
      conn_mat = get_dok_mat_with_set_coords(len(layer_labels), edges)
      strides[9] = 2
      strides[6] = 2
      return ConvNeuralNetwork(
          layer_labels,
          conn_mat,
          num_filters_each_layer,
          strides,
          cnn_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 5 for calling a global function with example usage: get_multidepth_cnn_eg2() and returns: ConvNeuralNetwork