数据

# -*- coding: utf-8 -*- import tensorflow as tf c1=tf.constant(2) print (c1) c2=tf.constant(2.5) print (c2) c3=tf.constant("a") print (c3) c4=tf.constant((1,-1),tf.complex64) print (c4)

常数运算

c11=tf.constant(2) c12=tf.constant(4) print ((c11+c12).numpy()) print ((c11-c12).numpy()) print ((c11*c12).numpy()) print ((c11/c12).numpy()) print (tf.add(c11,c12).numpy()) print (tf.subtract(c11,c12).numpy()) print (tf.multiply(c11,c12).numpy()) print (tf.divide(c11,c12).numpy())

矩阵

t0=tf.constant([[1,2,3,4,5]],dtype=tf.float32) print (t0) t1=tf.constant([[1,2,3,4,5]],dtype=tf.int32) print (t1) t2=tf.constant([['1','2','3','4','5']],dtype=tf.string) print (t2)

矩阵操作

mix=tf.constant([ [1,2,3], [2,3,4], [5,6,7] ]) print (mix) print (mix.numpy())#只显示矩阵 print (mix.shape)#矩阵形状3*3 print (mix[1][1])#某行某列 print (mix[1][1].numpy())#某行某列的值 print (tf.reduce_sum(mix))#矩阵求和 print (tf.reduce_prod(mix))#矩阵求积 print (tf.reduce_mean(mix))#平均值 A=tf.constant([ [1,2,3], [2,3,4], [3,4,5] ]) B=tf.constant([ [1,2,3], [2,3,4], [3,4,5] ]) print(A*B) print(A+B) print(A-B) print(tf.matmul(A,B)) print(tf.add(A,B)) print (tf.subtract(A,B))

变数

t=tf.Variable([2,1],[1,2]) print(t) t1=tf.Variable(['Hello'],tf.string) print(t1) t2=tf.Variable([2.1,1],tf.float32) print(t2) t3=tf.Variable([2,1,0,4],tf.int32) print(t3) t4=tf.Variable([(2,-5),(1,-4)],tf.complex64) print(t4)

随机值

r=tf.random.uniform([3,4],-5,5)#shape,3行4列;[-5,5]之间随机 print (r) print(tf.round(r))#取整 r1=tf.random.normal([3,4],0,1)#68%[-1,1],95%[-2,2] print (r1)

最大值

import numpy as np r1=tf.random.normal([3,4],0,1) print(np.max(r1))#最大值 print(np.max(r1,0))#每一列最大值 print(np.argmax(r1))#最大值位置 print(np.argmax(r1,0))#每一列最大值位置