code: def breast_cancer():
      from tensorflow.keras.optimizers import Adam, Nadam, RMSprop
      from tensorflow.keras.losses import logcosh, binary_crossentropy
      from tensorflow.keras.activations import relu, elu, sigmoid
  
      # then we can go ahead and set the parameter space
      p = {
          "lr": (0.5, 5, 10),
          "first_neuron": [4, 8, 16, 32, 64],
          "hidden_layers": [0, 1, 2],
          "batch_size": (2, 30, 10),
          "epochs": [50, 100, 150],
          "dropout": (0, 0.5, 5),
          "shapes": ["brick", "triangle", "funnel"],
          "optimizer": [Adam, Nadam, RMSprop],
          "losses": [logcosh, binary_crossentropy],
          "activation": [relu, elu],
          "last_activation": [sigmoid],
      }
  
      return p
  
label_desc: Use image node_id 3 for calling a global function with example usage: breast_cancer() and returns: p