Remembering the training process

Before describing the computational burden imposed by neural network training, we must remember how this process works.

Important note

This section gives a very brief introduction to the training process. If you are totally unfamiliar with this topic, you should invest some time to understand this theme before moving to the following chapters. An excellent resource for learning this topic is the book entitled Machine Learning with PyTorch and Scikit-Learn, published by Packt and written by Sebastian Raschka, Yuxi (Hayden) Liu, and Vahid Mirjalili.

Basically speaking, neural networks learn from examples, similar to a child observing an adult. The learning process relies on feeding the neural network with pairs of input and output values so that the network catches the intrinsic relation between the input and output data. Such relationships can be interpreted as the knowledge obtained by the model. So, where a human sees a bunch of data, the...