A computational graph is a series of TensorFlow operations, also known as **ops**, arranged into a graph of nodes. The following two principle steps are used by TensorFlow Core:

- Define a computational graph
- Run the computational graph

Let's try to understand this concept with a very simple example. Let's say that you have a function with two variables, **x** and **y** as shown in the following screenshot:

We will use the preceding formula to calculate or to build a computational graph for the actual value of this function when you pass the values **3** and 2 for **x** and **y** respectively:

Now, let's build a computational graph for actually ...