import mnist_loader
import mnist_network2

training_data, validation_data, test_data = \
    mnist_loader.load_data_wrapper()

net = mnist_network2.Network([784, 30, 30, 10], cost=mnist_network2.CrossEntropyCost)
net.SGD(training_data, 30, 10, 0.5,
        lmbda=5.0,
        evaluation_data=validation_data,
        monitor_evaluation_accuracy=True,
        monitor_evaluation_cost=True,
        monitor_training_accuracy=True,
        monitor_training_cost=True)
