本节的话我们开端讲授sklearn里面的实战：
先看下代码：
from sklearn.neural_network import MLPClassifier
X = [[0, 0],
[1, 1]]
y = [0, 1]
clf = MLPClassifier(solver="sgd", alpha=1e-5, activation="logistic",
hidden_layer_sizes=(5, 2), max_iter=2000, tol=1e-4)
clf.fit(X, y)
predicted_value = clf.predict([[2, 2],
[-1, -2]])
print(predicted_value)
predicted_proba = clf.predict_proba([[2., 2.],
[-1., -2.]])
print(predicted_proba)
print([coef.shape for coef in clf.coefs_])
print([coef for coef in clf.coefs_])
from sklearn
