선형회귀 경사하강법 (Gradient Descent) - 점차적으로 loss 손실 최소화 찾는 방법 실습 # -*- coding: utf-8 -*-"""Created on Sun Mar 3 15:19:38 2019 @author: KSM06-05""" import numpy as npimport matplotlib.pyplot as pltimport tensorflow as tf #테스트용 시드 맞추기np.random.seed(0) # y=ax+b 기본 선형회귀 기준 a=ww=5b=2 x_data=[]y_data=[]y_line=[]for i in range(1000): x=np.random.normal(0,1) e=np.random.normal(0,5) y=w*x+b+e #1차함수# y=w*x*x+b+..
