import mnist_loader
import network2

training_data, validation_data, test_data = mnist_loader.load_data_wrapper()

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=True,
 monitor_training_accuracy=True,
 monitor_training_cost=True)
