def _test_train_urls():
mynet = Network(3, 4, 3)
mynet.create_connections()
#mynet.feed_forward([1,1,1])
#print(mynet.output_ouputs)
print(mynet.matrix_wih)
print(mynet.matrix_who)
for i in range(1000):
#print('='*20)
mynet.train([1, 0, 1], [1, 0, 0])
#print(mynet.matrix_wih)
#print(mynet.matrix_who)
# print('='*30)
# for i in range(30):
mynet.train([0, 1, 1], [0, 1, 0])
# print('='*30)
# for i in range(30):
mynet.train([1, 0, 0], [0, 0, 1])
print('Results:')
mynet.feed_forward([1, 0, 1])
print('{} expected {}'.format(mynet.output_ouputs, [1, 0, 0]))
mynet.feed_forward([0, 1, 1])
print('{} expected {}'.format(mynet.output_ouputs, [0, 1, 0]))
mynet.feed_forward([1, 0, 1])
print('{} expected {}'.format(mynet.output_ouputs, [1, 0, 0]))
mynet.feed_forward([0, 0, 1])
print('{} expected {}'.format(mynet.output_ouputs, [1, 0, 0]))
def _test_train_xor_1o():
mynet = Network(2, 3, 1)
mynet.create_connections()
# print(mynet.matrix_wih)
# print(mynet.matrix_who)
for i in range(1000):
# 1 xor 1 = 0 [prob 0, prob1]
mynet.train([1, 1], [0], learning_rate=1)
# print(mynet.matrix_wih)
# print(mynet.matrix_who)https://stevenmiller888.github.io/mind-how-to-build-a-neural-network/
mynet.train([1, 0], [1], learning_rate=1)
mynet.train([0, 0], [0], learning_rate=1)
# mynet.train([0, 1], [1], learning_rate=1)
mynet.feed_forward([1, 1])
print('[1,1]= %s' % mynet.output_ouputs)
mynet.feed_forward([0, 0])
print('[0,0]= %s' % mynet.output_ouputs)
mynet.feed_forward([1, 0])
print('[1,0]= %s' % mynet.output_ouputs)
mynet.feed_forward([0, 1])
print('[0,1]= %s' % mynet.output_ouputs)
mynet.feed_forward([1, 1])
print('[1,1]= %s' % mynet.output_ouputs)
def _test_train_31():
mynet = Network(3, 3, 1)
mynet.create_connections()
print(mynet.matrix_wih)
print(mynet.matrix_who)
for i in range(10000):
mynet.train([0, 0, 1], [0], learning_rate=1)
# print(mynet.matrix_wih)
# print(mynet.matrix_who)
mynet.train([1, 1, 1], [1], learning_rate=1)
mynet.train([1, 0, 1], [1], learning_rate=1)
mynet.train([0, 1, 1], [0], learning_rate=1)
mynet.feed_forward([1, 0, 0])
print('[1,0,0]= %s' % mynet.output_ouputs)
mynet.feed_forward([1, 0, 0])
print('[0,0,0]= %s' % mynet.output_ouputs)