code: def __init__(self, input_size, is_classifier=True):
      super(FFNetwork, self).__init__()
      self.is_classifier = is_classifier
      self.flatten = nn.Flatten()
      self.linear_relu_stack = nn.Sequential(
          nn.Linear(input_size, 16),
          nn.ReLU(),
          nn.Linear(16, 1),
      )
  
file_path: DiCE/dice_ml/utils/neuralnetworks.py
imports: from torch import nn, sigmoid
label_desc: Use image node_id 1 to create a new FFNetwork object from inherited base classes: nn with example: obj = FFNetwork(input_size, is_classifier)