code: def __init__(self, dense_dim, drop_rate):
      super().__init__(name="lbd")
      self.dense_dim = dense_dim
      self.drop_rate = drop_rate
  
      self.fc = tf.keras.layers.Dense(self.dense_dim)
      self.drop = tf.keras.layers.Dropout(self.drop_rate)
      self.bn = tf.keras.layers.BatchNormalization()
  
imports: import numpy
  from absl import logging
  import delta.compat
  from tensorflow.python.keras import backend
  from delta.models.base_model import Model
  from delta.layers.base_layer import Layer
  from delta import utils
  from delta.utils.register import registers
label_desc: Use image node_id 1 to create a new LBD object from inherited base classes: Layer with example: obj = LBD(dense_dim, drop_rate)