Python | Tensorflow sin() method

Tensorflow is an open-source machine learning library developed by Google. One of its applications is to develope deep neural networks.

The module `tensorflow.math` provides support for many basic mathematical operations. Function `tf.sin()` [alias `tf.math.sin`] provides support for the sine function in Tensorflow. It expects the input in radian form and the output is in the range [-1, 1]. The input type is tensor and if the input contains more than one element, element-wise sine is computed.

Syntax: tf.sin(x, name=None) or tf.math.sin(x, name=None)

Parameters:
x: A tensor of any of the following types: float16, float32, float64, complex64, or complex128.
name (optional): The name for the operation.

Return type: A tensor with the same type as that of x.

Code #1:

 `# Importing the Tensorflow library ` `import` `tensorflow as tf ` ` `  `# A constant vector of size 6 ` `a ``=` `tf.constant([``1.0``, ``-``0.5``, ``3.4``, ``-``2.1``, ``0.0``, ``-``6.5``], dtype ``=` `tf.float32) ` ` `  `# Applying the sin function and ` `# storing the result in 'b' ` `b ``=` `tf.sin(a, name ``=``'sin'``) ` ` `  `# 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)) `

Output:

```Input type: Tensor("Const_1:0", shape=(6, ), dtype=float32)
Input: [ 1.        -0.5        3.4000001 -2.0999999  0.        -6.5      ]
Return type: Tensor("sin_0:0", shape=(6, ), dtype=float32)
Output: [ 0.84147096 -0.47942555 -0.25554121 -0.86320943  0.         -0.21511999]
```

Code #2: Visualization

 `# 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 sigmoid function and ` `# storing the result in 'b' ` `b ``=` `tf.sin(a, name ``=``'sin'``) ` ` `  `# 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.sin"``)  ` `    ``plt.xlabel(``"X"``)  ` `    ``plt.ylabel(``"Y"``)  ` ` `  `    ``plt.show() `

Output:

```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: [ 0.95892427  0.91034694  0.41672165 -0.2806294  -0.84078711 -0.98990308
-0.6550779   0.          0.6550779   0.98990308  0.84078711  0.2806294
-0.41672165 -0.91034694 -0.95892427]
```

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