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.atan()
[別名tf.math.atan
]支持Tensorflow中的反正切函數。它以弧度形式給出輸出。輸入類型為張量,如果輸入包含多個元素,則將計算按元素的反正切。
用法:tf.atan(x, name=None) or tf.math.atan(x, name=None)
參數:
x:以下任何類型的張量:bfloat16,half,float32,float64,int32,int64,complex64或complex128。
name(可選):操作的名稱。
返回類型:與x具有相同類型的張量。
代碼1:
# Importing the Tensorflow library
import tensorflow as tf
# A constant vector of size 6
a = tf.constant([1.0, -0.5, 3.4, 0.2, 0.0, -2],
dtype = tf.float32)
# Applying the atan function and
# storing the result in 'b'
b = tf.atan(a, name ='atan')
# 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_8:0", shape=(6, ), dtype=float32) Input:[ 1. -0.5 3.4 0.2 0. -2. ] Return type:Tensor("atan:0", shape=(6, ), dtype=float32) Output:[ 0.7853982 -0.4636476 1.2847449 0.19739556 0. -1.1071488 ]
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
# A vector of size 15 with values from -5 to 5
a = np.linspace(-5, 5, 15)
# Applying the inverse tangent function and
# storing the result in 'b'
b = tf.atan(a, name ='atan')
# 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.atan")
plt.xlabel("X")
plt.ylabel("Y")
plt.show()
輸出:
Input:[-5. -4.28571429 -3.57142857 -2.85714286 -2.14285714 -1.42857143 -0.71428571 0. 0.71428571 1.42857143 2.14285714 2.85714286 3.57142857 4.28571429 5. ] Output:[-1.37340077 -1.34156439 -1.29778762 -1.23412151 -1.13416917 -0.96007036 -0.62024949 0. 0.62024949 0.96007036 1.13416917 1.23412151 1.29778762 1.34156439 1.37340077]
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注:本文由純淨天空篩選整理自vaibhav29498大神的英文原創作品 Python | Tensorflow atan() 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。