class_docstr: Convolutional Neural Network used for image classification, whose
  architecture can be any of the `VALID_ARCHITECTURES`.
  
  This class wraps the `tf.slim` implementations of these models, with some
  helpful additions.
class_docstr_tok: ["Convolutional","Neural","Network","used","for","image","classification",",","whose","architecture","can","be","any","of","the","`","VALID_ARCHITECTURES","`",".","This","class","wraps","the","`","tf.slim","`","implementations","of","these","models",",","with","some","helpful","additions","."]
code: def resnet_v1_type(self):
      return self._architecture.startswith("resnet_v1")
  
imports: import functools
  import sonnet
  import tensorflow
  import tensorflow.contrib.slim
  from tensorflow.contrib.slim.nets import resnet_v2, resnet_v1, vgg
  from luminoth.models.base import truncated_vgg
  from luminoth.utils.checkpoint_downloader import get_checkpoint_file
label_desc: Use image node_id 9 for calling the BaseNetwork obj's underlying member method code with example usage: obj.resnet_v1_type() and returns: self