code: def __init__(self):
      super().__init__()
      self.units = units
      self.projection_1 = layers.Dense(units=units, activation="tanh")
      self.projection_2 = layers.Dense(units=units, activation="tanh")
      # Our previously-defined Functional model
      self.classifier = model
  
imports: import numpy
  import keras
  from keras import layers
  from keras import ops
label_desc: Use image node_id 1 to create a new CustomRNN object from inherited base classes: layers with example: obj = CustomRNN()