import mnist_loader
import network2


training_data, validation_data, test_data = mnist_loader.load_data_wrapper()

net = network2.Network([784, 100, 10], cost=network2.CrossEntropyCost)

#net.large_weight_initializer()

net.SGD(training_data, 60, 10, 0.1, lmbda = 5.0, evaluation_data=validation_data, monitor_evaluation_accuracy=True)