code: def __init__(self, units, use_bias, **kwargs):
      super(LinearBN, self).__init__(**kwargs)
      self.linear_layer = keras.layers.Dense(
          units, use_bias=use_bias, name="linear_layer"
      )
      self.batch_normalization = keras.layers.BatchNormalization(
          axis=-1,
          momentum=0.90,
          epsilon=1e-5,
          name="batch_normalization",
      )
      self.activation = keras.layers.ReLU()
  
imports: import tensorflow
  from tensorflow import keras
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 1 to create a new LinearBN object from inherited base classes: keras.layers with example: obj = LinearBN(units, use_bias)