# script for making a saving a neural network import Recognition import Data # get the data train_data, test_data = Data.alpha_load() net = Recognition.Recognition([784, 20, 52], cost=Recognition.CrossEntropyCost) net.train(train_data, 10, 75, 0.1, reg_param=5.0, test_data=test_data) print net.results(test_data) net.save('net_smaller.json') print "Network Saved"