text: class HyperParameters(object):
  
      def __init__(self):
  
          self.dense_kernel_initializer_scale = 0.08
          self.dense_kernel_regularizer_scale = 1e-4
          self.dense_activity_regularizer_scale = 0.0
          self.conv_kernel_regularizer_scale = 1e-4
          self.conv_activity_regularizer_scale = 0.0
          self.dense_drop_rate = 0.5
  
          # about the optimization
          self.num_epochs = 100
          self.batch_size = 64
          self.optimizer = 'Adam'  # 'Adam', 'RMSProp', 'Momentum' or 'SGD'
          self.initial_learning_rate = 0.005
          self.learning_rate_decay_factor = 1.0
          self.num_steps_per_decay = 20000
          self.clip_gradients = 5.0
          self.momentum = 0.0
          self.use_nesterov = True
          self.decay = 0.9
          self.centered = True
          self.beta1 = 0.9
          self.beta2 = 0.999
          self.epsilon = 1e-6
  
          self.license_number_list = [
              '0123456789',
              '0123456789',
              'ABCDEFGHIJKLMNOPQRSTUVWXYZ',
              '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ',
              '0123456789',
              '0123456789',
              '0123456789',
              '0123456789',
          ]
  
          self.save_dir = '/content/drive/My Drive/data/'
          self.summary_period = 1
          self.summary_dir = './summary'
          self.eval_period = 704
  
          self.train_image_dir = './data/train_images'
          self.val_image_dir = './data/val_images'
          self.test_image_dir = './data/test_images'
          self.test_result_dir = './data/test_result_images'
  