text: import mnist_loader
  training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
  import network2
  net = network2.Network([784, 30, 10], cost=network2.CrossEntropyCost)
  net.SGD(training_data, 30, 10, 0.5,
          lmbda=5.0,
          evaluation_data=validation_data,
          monitor_evaluation_accuracy=True,
          monitor_evaluation_cost=False,
          monitor_training_accuracy=False,
          monitor_training_cost=False
  )
  