Operations in a computational graph

Now that we can put objects into our computational graph, we will introduce operations that act on such objects.

Getting ready

To start a graph, we load TensorFlow and create a session, as follows:

import tensorflow as tf 
sess = tf.Session() 

How to do it...

In this example, we will combine what we have learned and feed each number in a list into an operation in a graph and print the output:

First, we declare our tensors and placeholders. Here, we will create a NumPy array to feed into our operation:

import numpy as np 
x_vals = np...