tf.add(x,y,name = None)求和函数

示例代码如下:

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

x = 1
y = 2

a = tf.add(x,y)

with tf.Session() as sess:
    print(sess.run(a))

tf.subtract(x,y,name = None)减法函数

示例代码如下:

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

x = 1
y = 2

a = tf.subtract(x,y)

with tf.Session() as sess:
    print(sess.run(a))

tf.multiply(x,y,name = None)乘法函数

示例代码如下:

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

x = 3
y = 2

a = tf.multiply(x,y)

with tf.Session() as sess:
    print(sess.run(a))

tf.div(x,y,name = None)除法函数

示例代码如下:

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

x = 6
y = 2

a = tf.div(x,y)

with tf.Session() as sess:
    print(sess.run(a))

tf.mod(x,y,name = None)取余函数

示例代码如下:

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

x = 10
y = 4

a = tf.mod(x,y)

with tf.Session() as sess:
    print(sess.run(a))

tf.abs(x,name = None)求绝对值函数

示例代码如下:

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

x = -10

a = tf.abs(x)

with tf.Session() as sess:
    print(sess.run(a))

tf.negative(x,name = None)取负函数

示例代码如下:

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

x = -10
y = [5,6,7]

a = tf.negative(x)
b = tf.negative(y)

with tf.Session() as sess:
    print(sess.run(a))
    print(sess.run(b))

tf.square(x,name = None)计算平方函数

tf.round(x,name = None)四舍五入

tf.sqrt(x,name = None)开根号函数

tf.pow(x,y,name = None)幂次方函数

tf.exp(x,name = None)计算e的次方

tf.log(x,name = None)计算log

tf.maximum(x,y,name = None)返回最大值

tf.minimum(x,y,name = None)返回最小值

tf.cos(x,name = None)三角函数cosine

tf.sin(x,name = None)三角函数sine

tf.tan(x,name = None)三角函数tan

tf.atan(x,name = None)三角函数ctan

tf.sign(x,name = None),该函数用于返回输入参数x的符号。如果x小于0,返回-1,如果等于0,返回0,如果大于0,返回1。

tf.cond(pred,true_fn = None,false_fn = None,strict = False,name = None,fn1 = None,fn2 = None),该函数用于有条件的执行函数,当pred为true时,执行true_fn函数,否则执行false_fn函数。