class_docstr: ConvNet classifier.
class_docstr_tok: ["ConvNet","classifier","."]
code: def __init__(
      self,
      output_size,
      layers=(
          (256, 5, 2),
          (256, 3, 1),
          (512, 5, 2),
          (512, 3, 1),
          (1024, 3, 2),
          (2048, 3, 2),
      ),
      name="encoder",
  ):
      super(ClassifierConv, self).__init__(name=name)
      self.output_size = output_size
      self.layers = layers
  
imports: import numpy
  import sonnet
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new ClassifierConv object from inherited base classes: snt with example: obj = ClassifierConv(output_size, layers, name)