Python – tensorflow.math.bessel_i1() function

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks. bessel_i1() is function present in tensorflow math module. This function is used to find element wise first order modified Bessel function.

Syntax: tensorflow.math.bessel_i1( x, name)

Parameters:

• x: It’s a tensor and the allowed dtypes for this tensor are bfloat16, half, float32, float64.
• name:  It is an optional argument which is used to give operation name.

Returns: It returns a tensor or sparse tensor depending upon x of same dtype as x.

Example 1:

Python3

# importing the library
import tensorflow as tf

# initializing the input
a = tf.constant([1,2,3,4,5], dtype = tf.float64)

# printing the input
print('a: ',a)

# evaluating the result
r = tf.math.bessel_i1(a)

# printing the result
print("Result: ",r)

Output:

a:  tf.Tensor([1. 2. 3. 4. 5.], shape=(5,), dtype=float64)
Result:  tf.Tensor([ 0.5651591   1.59063685  3.95337022  9.75946515 24.33564214], shape=(5,), dtype=float64)

Example 2: Visualization

Python3

# importing the library
import tensorflow as tf
import matplotlib.pyplot as plt

# initializing the input
a = tf.constant([1,2,3,4,5], dtype = tf.float64)

# evaluating the result
r = tf.math.bessel_i1(a)

#plotting the graph
plt.plot(a, r, color = 'green', marker = "o")
plt.title("tensorflow.math.bessel_i1")
plt.xlabel("Input")
plt.ylabel("Result")
plt.show()

Output: