class_docstr: Converts z, the encoded digit vector, back into a readable digit.
class_docstr_tok: ["Converts","z",",","the","encoded","digit","vector",",","back","into","a","readable","digit","."]
code: def __init__(
      self, original_dim, intermediate_dim=64, name="decoder", **kwargs
  ):
      super().__init__(name=name, **kwargs)
      self.dense_proj = layers.Dense(
          intermediate_dim, activation="relu"
      )
      self.dense_output = layers.Dense(
          original_dim, activation="sigmoid"
      )
  
imports: import numpy
  import keras
  from keras import ops
  from keras import layers
label_desc: Use image node_id 1 to create a new Decoder object from inherited base classes: layers with example: obj = Decoder(original_dim, intermediate_dim, name)