Tensorflow是Google開發的開源機器學習庫。它的應用之一是開發深度神經網絡。
模塊tensorflow.math
為許多基本的數學運算提供支持。函數tf.reciprocal()
[別名tf.math.reciprocal
]支持在Tensorflow中計算輸入的倒數。它期望以複數形式輸入為,浮點數和整數。輸入類型為張量,如果輸入包含多個元素,則將計算按元素的倒數,。
用法:tf.reciprocal(x, name=None) or tf.math.reciprocal(x, name=None)
參數:
x:類型為bfloat16,half,float32,float64,int32,int64,complex64或complex128的張量。
name(可選):操作的名稱。
返回類型:與x具有相同大小和類型的張量。
代碼1:
# Importing the Tensorflow library
import tensorflow as tf
# A constant vector of size 6
a = tf.constant([-0.5, -0.1, 0, 0.1, 0.5, 2], dtype = tf.float32)
# Applying the reciprocal function and
# storing the result in 'b'
b = tf.reciprocal(a, name ='reciprocal')
# Initiating a Tensorflow session
with tf.Session() as sess:
print('Input type:', a)
print('Input:', sess.run(a))
print('Return type:', b)
print('Output:', sess.run(b))
輸出:
Input type:Tensor("Const:0", shape=(6, ), dtype=float32) Input:[-0.5 -0.1 0. 0.1 0.5 2. ] Return type:Tensor("reciprocal:0", shape=(6, ), dtype=float32) Output:[ -2. -10. inf 10. 2. 0.5]
表示當輸入接近零時,倒數接近無窮大。
代碼2:可視化
# Importing the Tensorflow library
import tensorflow as tf
# Importing the NumPy library
import numpy as np
# Importing the matplotlib.pylot function
import matplotlib.pyplot as plt
# Two vector each of size 20 with values from 0 to 10
a = np.linspace(0, 10, 20)
# Applying the reciprocal function and
# storing the result in 'b'
b = tf.reciprocal(a, name ='reciprocal')
# Initiating a Tensorflow session
with tf.Session() as sess:
print('Input:', a)
print('Output:', sess.run(b))
plt.plot(a, sess.run(b), color = 'red', marker ='o')
plt.title("tensorflow.reciprocal")
plt.xlabel("X")
plt.ylabel("Y")
plt.grid()
plt.show()
輸出:
Input:[ 0. 0.52631579 1.05263158 1.57894737 2.10526316 2.63157895 3.15789474 3.68421053 4.21052632 4.73684211 5.26315789 5.78947368 6.31578947 6.84210526 7.36842105 7.89473684 8.42105263 8.94736842 9.47368421 10. ] Output:[ inf 1.9 0.95 0.63333333 0.475 0.38 0.31666667 0.27142857 0.2375 0.21111111 0.19 0.17272727 0.15833333 0.14615385 0.13571429 0.12666667 0.11875 0.11176471 0.10555556 0.1 ]
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注:本文由純淨天空篩選整理自sanskar27jain大神的英文原創作品 Python | Tensorflow reciprocal() method。非經特殊聲明,原始代碼版權歸原作者所有,本譯文未經允許或授權,請勿轉載或複製。