class_docstr: Computes the MSE loss between true labels and predicted labels.
code: def __init__(self):
      super(MeanSquaredError, self).__init__(mean_squared_error)
  
imports: import tf_encrypted
label_desc: Use image node_id 1 to create a new MeanSquaredError object from inherited base classes: Loss with example: obj = MeanSquaredError()