tensorflow学习笔记2

构造线性回归模型1

import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt

#随机生成1000个点，围绕在y=0.1x+0.3的直线周围
num_points = 1000
vectors_set = []
for i in range(num_points):
    x1 = np.random.normal(0.0,0.55)
    y1 = x1 * 0.1 + 0.3 + np.random.normal(0.0,0.03)
    vectors_set.append([x1,y1])

#生成一些样本
x_data = [v[0] for v in vectors_set]
y_data = [v[1] for v in vectors_set]

plt.scatter(x_data,y_data,c='r')
plt.show()