In the last chapter, we learned the factors that contribute to increasing the computational burden of the training process. Those factors have a direct influence on the complexity of the training phase and, hence, on the execution time.

Now, it is time to learn how to accelerate this process. In general, we can improve performance by changing something in the software stack or increasing the number of computing resources.

In this chapter, we will start to understand both of these options. Next, we will learn what can be modified in the application and environment layers.

Here is what you will learn as part of this chapter:

• Understanding the approaches to accelerate the training process
• Knowing the layers of the software stack used to train a model
• Learning the difference between vertical and horizontal scaling
• Understanding what can be changed in the application layer to accelerate the training process.
• Understanding what can...