code: def __init__(self):
      self.name = "squeezenet_v1.1"
      self.input_is_BGR = True
  
      self.coreml_data_layer = "data"
      self.coreml_feature_layer = "flatten"
  
      self.source_md5 = {
          "coreml": "5d8a41bb9a48f71b779a98b345de0900",
          "tensorflow": "60d5afff4c5bc535bc29655feac5571f",
      }
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import os
  import sys
  import requests
  import turicreate
  import hashlib
  from six.moves.urllib import parse
label_desc: Use image node_id 1 to create a new SqueezeNetImageClassifierV1_1 object from inherited base classes: ImageClassifierPreTrainedModel with example: obj = SqueezeNetImageClassifierV1_1()