class TrainingData:
def __init__(self, inputs, targets):
self.inputs = inputs
self.targets = targets
data = []
data.append(TrainingData([0, 0], [0]))
data.append(TrainingData([1, 1], [0]))
data.append(TrainingData([0, 1], [1]))
data.append(TrainingData([1, 0], [1]))
# The XOR problem
times = 100000
nowPrecent = 0
for i in range(times):
rnd = random.randint(0, len(data) - 1)
nn.feed(data[rnd].inputs, True, data[rnd].targets)
if i > 0:
precent = int(i / 1000)
if precent != nowPrecent:
nowPrecent = precent
print(str(precent) + "% Done")
print("Training Done")
for x in data:
print("Inputs " + str(x.inputs))
print("Target " + str(x.targets))
answer = nn.feed(x.inputs, False)
print("Answer " + str(answer))
