數值乘法mul

例如：a=3，b=3，a*b = 9

import tensorflow as tf a = tf.placeholder(tf.float32) b = tf.placeholder(tf.float32) y = tf.mul(a, b) sess = tf.Session() print (sess.run(y, feed_dict={a: 3, b: 3}))

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結果：9.0

數值和add

例如: a = 3, b=3 ,a+b = 6

import tensorflow as tf a = tf.placeholder(tf.float32) b = tf.placeholder(tf.float32) y = tf.add(a, b) sess = tf.Session() print (sess.run(y, feed_dict={a: 3, b: 3}))

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結果：6.0

數值減法sub

例如：a=3,b=3,a-b = 0

import tensorflow as tf a = tf.placeholder(tf.float32) b = tf.placeholder(tf.float32) y = tf.sub(a, b) sess = tf.Session() print (sess.run(y, feed_dict={a: 3, b: 3}))

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結果： 0.0

數值除法div

例如: a=3,b=3,a/b = 1.0

import tensorflow as tf a = tf.placeholder(tf.float32) b = tf.placeholder(tf.float32) y = tf.div(a, b) sess = tf.Session() print (sess.run(y, feed_dict={a: 3, b: 3}))

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結果: 1.0

數值取模mod

例如:a=3,b=3,a mod b = 0

import tensorflow as tf a = tf.placeholder(tf.float32) b = tf.placeholder(tf.float32) y = tf.mod(a, b) sess = tf.Session() print (sess.run(y, feed_dict={a: 3, b: 3}))

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結果: 0.0

數值絕對值abs

例如:a=-3, abs (a) = 3

import tensorflow as tf a = tf.placeholder(tf.float32) b = tf.placeholder(tf.float32) y = tf.abs(a) sess = tf.Session() print (sess.run(y, feed_dict={a: -3}))

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結果： 3.0

數值非負值neg

例如:a=-3, neg (a) = 3

import tensorflow as tf a = tf.placeholder(tf.float32) y = tf.neg(a) sess = tf.Session() print (sess.run(y, feed_dict={a: -3}))

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結果： 3.0

數值符號函數sign

例如:a=-3, neg (a) = 3

import tensorflow as tf a = tf.placeholder(tf.float32) y = tf.neg(a) sess = tf.Session() print (sess.run(y, feed_dict={a: -3}))

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結果： 3.0

數值符號函數sign

例如: a=-3,sign(a) = -1

import tensorflow as tf a = tf.placeholder(tf.float32) y = tf.sign(a) sess = tf.Session() print (sess.run(y, feed_dict={a: -3}))

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結果: -1.0

數值倒數inv

例如: a=-3,sign(a) = -1

import tensorflow as tf a = tf.placeholder(tf.float32) y = tf.sign(a) sess = tf.Session() print (sess.run(y, feed_dict={a: -3}))

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結果: -1.0

數值平方square

例如: a=-3,square(a) = 9

import tensorflow as tf a = tf.placeholder(tf.float32) y = tf.square(a) sess = tf.Session() print (sess.run(y, feed_dict={a: -3}))

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結果: 9.0

數值最近的整數round

例如: a=-3.6,round(a) = -4.0

import tensorflow as tf y = tf.round(a) sess = tf.Session() print (sess.run(y, feed_dict={a: -3.6}))

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結果: -4.0

例如: a=-3.3,round(a) = -3.0

import tensorflow as tf y = tf.round(a) sess = tf.Session() print (sess.run(y, feed_dict={a: -3.3}))

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結果：-3.0

數值平方根sqrt

例如: a=4,sqrt(a) = 2

import tensorflow as tf a = tf.placeholder(tf.float32) y = tf.sqrt(a) sess = tf.Session() print (sess.run(y, feed_dict={a: 4}))

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結果: 2.0

數值冪次pow

例如: a=2,b=3,pow(a,b) = 8

import tensorflow as tf a = tf.placeholder(tf.float64) b = tf.placeholder(tf.float64) y = tf.pow(a, b) sess = tf.Session() print (sess.run(y, feed_dict={a: 2, b: 3}))

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結果: 8.0

數值最近的整數exp

例如: a=2,exp(a) = 7.38906

import tensorflow as tf a = tf.placeholder(tf.float32) y = tf.exp(a) sess = tf.Session() print (sess.run(y, feed_dict={a: 2}))

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結果: 7.38906

數值取對數log

例如: a=-3.6,round(a) = -4.0

import tensorflow as tf a = tf.placeholder(tf.float32) y = tf.log(a) sess = tf.Session() print (sess.run(y, feed_dict={a: 2}))

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結果: 0.69314718056

數值取最大值maximum

例如: a=-3.6, b = 2,maximum(a,b)=2

import tensorflow as tf a = tf.placeholder(tf.float32) b = tf.placeholder(tf.float32) y = tf.maximum(a,b) sess = tf.Session() print (sess.run(y, feed_dict={a: -3.6,b: 2}))

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結果: 2.0

數值最小值minimum

例如: a=2,b=3minimum(a) = 3

import tensorflow as tf a = tf.placeholder(tf.float64) b = tf.placeholder(tf.float64) y = tf.minimum(a, b) sess = tf.Session() print (sess.run(y, feed_dict={a: 2, b: 3}))

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結果: 2.0

數值余弦函數cos

例如: a=2,cos(a) = -0.416146836547

import tensorflow as tf a = tf.placeholder(tf.float64) y = tf.cos(a) sess = tf.Session() print (sess.run(y, feed_dict={a: 2}))

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結果: -0.416146836547

數值正弦函數sin

例如: a=2,sin(a) = -0.416146836547

import tensorflow as tf a = tf.placeholder(tf.float64) y = tf.sin(a) sess = tf.Session() print (sess.run(y, feed_dict={a: 2}))

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結果: 0.909297426826

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