code: def create_network():
      layers = [
          Conv(
              (11, 11, 64),
              init=Gaussian(scale=0.01),
              bias=Constant(0),
              activation=Rectlin(),
              padding=3,
              strides=4,
          ),
          Pooling(3, strides=2),
          Conv(
              (5, 5, 192),
              init=Gaussian(scale=0.01),
              bias=Constant(1),
              activation=Rectlin(),
              padding=2,
          ),
          Pooling(3, strides=2),
          Conv(
              (3, 3, 384),
              init=Gaussian(scale=0.03),
              bias=Constant(0),
              activation=Rectlin(),
              padding=1,
          ),
          Conv(
              (3, 3, 256),
              init=Gaussian(scale=0.03),
              bias=Constant(1),
              activation=Rectlin(),
              padding=1,
          ),
          Conv(
              (3, 3, 256),
              init=Gaussian(scale=0.03),
              bias=Constant(1),
              activation=Rectlin(),
              padding=1,
          ),
          Pooling(3, strides=2),
          Affine(
              nout=4096,
              init=Gaussian(scale=0.01),
              bias=Constant(1),
              activation=Rectlin(),
          ),
          Dropout(keep=0.5),
          Affine(
              nout=4096,
              init=Gaussian(scale=0.01),
              bias=Constant(1),
              activation=Rectlin(),
          ),
          Dropout(keep=0.5),
          Affine(
              nout=1000,
              init=Gaussian(scale=0.01),
              bias=Constant(-7),
              activation=Softmax(),
          ),
      ]
  
      return Model(layers=layers), GeneralizedCost(
          costfunc=CrossEntropyMulti()
      )
  
imports: from neon.initializers import Gaussian, Constant
  from neon.layers import Conv, Pooling, GeneralizedCost, Affine, Dropout, LRN
  from neon.transforms import Rectlin, Softmax, CrossEntropyMulti
  from neon.models import Model
label_desc: Use image node_id 1 for calling a global function with example usage: create_network() and returns: Model,  GeneralizedCost