def test_XOR_operation(self):
network = Perceptron(input=2, hidden=[20], output=1)
trainer = Trainer(network)
error, epoch = trainer.XOR()
self.assertTrue(error < 0.1)
self.assertTrue(abs(sum(network.activate([0, 0])) - 0) < 0.1)
self.assertTrue(abs(sum(network.activate([0, 1])) - 1) < 0.1)
self.assertTrue(abs(sum(network.activate([1, 0])) - 1) < 0.1)
self.assertTrue(abs(sum(network.activate([1, 1])) - 0) < 0.1)
def test_from_json(self):
return
fn = os.path.join(os.path.dirname(__file__), './test_network.json')
settings = {
'momentum': 0.99,
'epoch': 5000,
'log': 100,
'error': 0.1,
'rate': 0.2,
'cost': Cost.SE
}
with open(fn) as data_file:
network_json = json.load(data_file)
network = Network.from_json(network_json)
trainer = Trainer(network)
start = time.time()
error, epoch = trainer.XOR(settings)
stop = time.time()
print(stop - start)