3.4 Logistic Regression

import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.optimizers import SGD
from keras.models import model_from_json

# モデルを読み込む
model = model_from_json(open('my_model34.json').read())

# 学習結果を読み込む
model.load_weights('my_model34.hdf5')

model.summary();

X = np.array([[0, 0], [0, 1], [1, 0], [1, 1]])
prediction = model.predict(X)
print(prediction[1])