基于tensorflow实现线性回归的模型训练预测

基于tensorflow实现线性回归的模型训练预测 import numpy as np import matplotlib.pyplot as plt import tensorflow as tf if __name__ == '__main__': with tf.Graph().as_default(): # 一、执行图的构建 # a. 定义占位符 input_x = tf.placeholder(dtype=tf.float32, shape=[None, 1], name='x') input_y = tf.