The tensorflow.math
module provides support for many basic mathematical operations. The tf.exp ()
[alias tf.math.exp
] function provides support for the exponential function in Tensorflow. Expected to be input as complex numbers in the form or floating point. Input type — tensor, and if the input contains more than one element, an element-wise exponential value is calculated,
,
Syntax : tf.exp (x, name = None) or tf.math.exp (x, name = None)
Parameters :
x : A Tensor of type bfloat16, half, float32, float64, complex64 or complex128.
name (optional): The name for the operation.Return type : A Tensor with the same size and type as that of x.
Code # 1:
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Exit:
Input type: Tensor ("Const: 0", shape = (5,), dtype = float32) Input: [-0.5 -0.1 0. 0.1 0.5] Return type: Tensor ("exp: 0", shape = (5,), dtype = float32) Output: [0.60653067 0.9048374 1.1.105171 1.6487212]
Code # 2: Rendering
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Output :
Input: [-10. -nine. -eight. -7. -6. -five. -four. -3. -2. -one. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.] Output: [4.53999298e-05 1.23409804e-04 3.35462628e-04 9.11881966e-04 2.47875218e-03 6.73794700e-03 1.83156389e-02 4.97870684e-02 1.35335283e-01 3.67879441e-01 1.00000000e + 00 2.71828183e + 00 7.38905610e + 00 2.00855369e + 01 5.45981500e + 01 1.48413159e + 02 4.03428793e + 02 1.0966933167 +03 8.10308393e + 03 2.20264658e + 04]