code: def Inception_1(conv_filters):
      return join(
          parallel(
              [
                  ConvReluBN((1, 1, conv_filters[0][0])),
              ],
              [
                  ConvReluBN((1, 1, conv_filters[1][0])),
                  ConvReluBN((5, 5, conv_filters[1][1]), padding=2),
              ],
              [
                  ConvReluBN((1, 1, conv_filters[2][0])),
                  ConvReluBN((3, 3, conv_filters[2][1]), padding=1),
                  ConvReluBN((3, 3, conv_filters[2][2]), padding=1),
              ],
              [
                  AveragePooling((3, 3), stride=(1, 1), padding="SAME"),
                  ConvReluBN((1, 1, conv_filters[3][0])),
              ],
          ),
          Concatenate(),
      )
  
imports: from neupy.layers import *
  from neupy import layers, plots
label_desc: Use image node_id 2 for calling a global function with example usage: Inception_1(conv_filters) and returns: join