Math operations in TensorFlow

Now, we will explore some of the operations in TensorFlow using eager execution mode:

x = tf.constant([1., 2., 3.])
y = tf.constant([3., 2., 1.])

Let's start with some basic arithmetic operations.

Use tf.add to add two numbers:

sum = tf.add(x,y)
sum.numpy()
array([4., 4., 4.], dtype=float32)

The tf.subtract function is used for finding the difference between two numbers:

difference = tf.subtract(x,y)
difference.numpy()
array([-2.,  0.,  2.], dtype=float32)

The tf.multiply function is used for multiplying two numbers:

product = tf.multiply(x,y)
product.numpy()
array([3., 4., 3.], dtype=float32)

Divide two numbers using tf.divide:

division = tf.divide(x,y)
division.numpy()
array([0.33333334, 1.        , 3.        ], dtype=float32)

The dot product can be computed as follows:

dot_product = tf.reduce_sum(tf.multiply(x, y))
dot_product.numpy()
10.0

Next, let's find the index of the minimum...