LinearRegression

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


np.random.seed(1)

lin_x = np.arange(0,100,2)
y = np.true_divide(lin_x,2)
n = np.shape(lin_x)

##adding noise
rand = norm.rvs(loc=0,scale=5,size=n)
x = np.add(lin_x,rand)