class_docstr: Usage for tf tensor output:
  o = CNN(x).tf_output()
class_docstr_tok: ["Usage","for","tf","tensor","output",":","o","=","CNN","(","x",")",".tf_output","(",")"]
code: def __init__(self, input_tensor, is_training):
      self._build_network(input_tensor, is_training)
  
file_path: attention-ocr/aocr/model/cnn.py
imports: from __future__ import absolute_import
  import numpy
  import tensorflow
label_desc: Use image node_id 1 to create a new CNN object from inherited base classes: object with example: obj = CNN(input_tensor, is_training)