text: """
  multi-layer perceptron,
  heads for making predictions
  """
  
  from ..cfg import CFG
  
  
  __all__ = [
      "linear",
  ]
  
  
  # previously, if rnn is set "none",
  # then cnn is followed by only ONE linear layer to make predictions
  # split this linear layer into several and adding non-linear activation function
  # might be able to let the model learn better classifying hyper-surfaces
  linear = CFG()
  linear.out_channels = [
      256, 64,
  ]
  linear.bias = True
  linear.dropouts = 0.2
  linear.activation = "mish"
  
  