def learn_test(self):
net = NeuralNet([1, 3, 1], -1, 1)
x = [[[-3]], [[2]], [[0]], [[-2]]]
y = [[[1]], [[1]], [[0]], [[0]]]
training_set = [x, y]
J = net.learn(training_set, 5000, 0.5)
plt.plot(J)
plt.show()
res = net.forward_prop([[-3]])
res_a = res[0]
a = res_a[len(res_a) - 1]
print(a)
print('-----------')
res = net.forward_prop([[2]])
res_a = res[0]
a = res_a[len(res_a) - 1]
print(a)
print('-----------')
res = net.forward_prop([[0]])
res_a = res[0]
a = res_a[len(res_a) - 1]
print(a)
print('-----------')
res = net.forward_prop([[-2]])
res_a = res[0]
a = res_a[len(res_a) - 1]
print(a)
print('-----------')
import numpy from neuralnet import NeuralNet from matplotlib import pyplot as plt net = NeuralNet([3, 3, 3], -1, 1) x = [[[1], [2], [3]], [[3], [5], [2]], [[4], [6], [8]]] y = [[[1], [0], [0]], [[1], [0], [0]], [[0], [1], [0]]] training_set = [x, y] J = net.learn(training_set, 1000, 0.5) plt.plot(J) plt.show()
