# 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"
