code: def create_network():
      # weight initialization
      g1 = Gaussian(scale=0.01)
      g5 = Gaussian(scale=0.005)
      c0 = Constant(0)
      c1 = Constant(1)
  
      # model initialization
      padding = {"pad_d": 1, "pad_h": 1, "pad_w": 1}
      strides = {"str_d": 2, "str_h": 2, "str_w": 2}
      layers = [
          Conv(
              (3, 3, 3, 64),
              padding=padding,
              init=g1,
              bias=c0,
              activation=Rectlin(),
          ),
          Pooling(
              (1, 2, 2), strides={"str_d": 1, "str_h": 2, "str_w": 2}
          ),
          Conv(
              (3, 3, 3, 128),
              padding=padding,
              init=g1,
              bias=c1,
              activation=Rectlin(),
          ),
          Pooling((2, 2, 2), strides=strides),
          Conv(
              (3, 3, 3, 256),
              padding=padding,
              init=g1,
              bias=c1,
              activation=Rectlin(),
          ),
          Pooling((2, 2, 2), strides=strides),
          Conv(
              (3, 3, 3, 256),
              padding=padding,
              init=g1,
              bias=c1,
              activation=Rectlin(),
          ),
          Pooling((2, 2, 2), strides=strides),
          Conv(
              (3, 3, 3, 256),
              padding=padding,
              init=g1,
              bias=c1,
              activation=Rectlin(),
          ),
          Pooling((2, 2, 2), strides=strides),
          Affine(nout=2048, init=g5, bias=c1, activation=Rectlin()),
          Dropout(keep=0.5),
          Affine(nout=2048, init=g5, bias=c1, activation=Rectlin()),
          Dropout(keep=0.5),
          Affine(nout=101, init=g1, bias=c0, activation=Softmax()),
      ]
      return Model(layers=layers), GeneralizedCost(
          costfunc=CrossEntropyMulti()
      )
  
imports: from neon.initializers import Constant, Gaussian
  from neon.layers import Conv, Dropout, Pooling, Affine, GeneralizedCost
  from neon.models import Model
  from neon.transforms import Rectlin, Softmax, CrossEntropyMulti
label_desc: Use image node_id 1 for calling a global function with example usage: create_network() and returns: Model,  GeneralizedCost