#RUN

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

#print(list(training_data)[0][1])

import network

net = network.Network([784, 30, 10])                                         #Testé : 94,56% / 94,87%
net.SGD(training_data, 30, 10, 3.0, test_data=test_data)
print("Results : {} / 10000".format(net.evaluate(test_data)))

# net = network.Network([784, 100, 10])                                          #Marche mieux apparemment
# net.SGD(training_data, 30, 10, 3.0, test_data=test_data)

# net = network.Network([784, 100, 10])                                        #Marche pas bien apparemment
# net.SGD(training_data, 30, 10, 0.001, test_data=test_data)

# net = network.Network([784, 30, 10])                                         #Marche pas du tout apparemment
# net.SGD(training_data, 30, 10, 100.0, test_data=test_data)