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input_dim=len(encoder.get_vocabulary()), output_dim=64, # Use masking to handle the variable sequence lengths mask_zero=True), tf.keras.layers.Bidirectional(tf.keras.layers.RNN(cell)), tf.keras.layers.Dense(60, activation='tanh'), tf.keras.layers.Dense(1) ]) # Compile model and use the algorithm