import tensorflow as tf
tf.set_random_seed(337)

#1. 데이터
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

w = tf.Variable(333, dtype=tf.float32)
b = tf.Variable(111, dtype=tf.float32)

#####[실습]#####

hypothesis = x * w + b

#3-1 컴파일
loss = tf.reduce_mean(tf.square(hypothesis-y))

optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.01)
train = optimizer.minimize(loss)

#3-2 훈련
sess = tf.compat.v1.Session()
sess.run(tf.global_variables_initializer())

#model.fit()
epochs = 20001
for step in range(epochs) :
    sess.run(train)
    if step %20 == 0 :
        print(step, 'loss :', sess.run(loss), 'w :', sess.run(w), 'b :', sess.run(b))
        
sess.close()