def _DetectApplicationUsageTable(self, conn):
    try:
      conn.execute(APPLICATION_USAGE_TABLE_DETECT)
      exists = True
    except sqlite3.OperationalError, e:
      if e.args[0].startswith('no such table'):
        exists = False
      else:
        raise
    return exists
Create the TensorFlow placeholders for the model.
dataset/ETHPy150Open google/macops/crankd/ApplicationUsage.py/ApplicationUsage._DetectApplicationUsageTable--crossover with--dataset/ETHPy150Open blackecho/Deep-Learning-TensorFlow/models/autoencoder_models/stacked_denoising_autoencoder.py/StackedDenoisingAutoencoder._create_placeholders