m0_51328444的博客

仅有输入和输出层，无隐藏层import tensorflow as tfimport numpy as npfrom tensorflow.examples.tutorials.mnist import input_datamnist=input_data.read_data_sets('MNIST_data',one_hot=True)def compute_accuracy(v_xs,v_ys): global prediction #全局变量 y_pre=sess.r

import tensorflow as tfimport numpy as np#creat datax_data=np.random.rand(100).astype(np.float32)y_data=x_data*0.1+0.3#创建y=0.1x+0.3###creat tensorflow structure start###Weights=tf.Variable(tf.random_uniform([1],-1.0,1.0))#random,服从[-1,1]正态分布biase

import tensorflow as tfmatrix_1=tf.constant([[3,3]])#(1,2)矩阵matrix_2=tf.constant([[2],[2]])product=tf.matmul(matrix_1,matrix_2)#矩阵乘法，np中用np.dot() 3*2+3*2#method 1sess=tf.Session()result=sess.run(product)#sess 指向productprint(result)sess.close()#这步骤