sklearn MLP神经网络训练或运算

1.源码实现

import imp
import numpy as np
from sklearn.neural_network import MLPClassifier

X = [[0,1,1],
                [0,1,0],
                [0,0,0],
                [0,0,1]]
y = [1,1,0,1]

clf = MLPClassifier(solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5,2), random_state=1)

clf.fit(X, y)

print(clf.predict([[0,1,0], [0,1,1], [0,0,0], [1,0,1]]))

2.运行及其结果

$ python3 example.py
[1 1 0 1]