We have studied the basic principles of how artificial neural networks are built and how they learn from the input data. Even if the actual method, in practice, for using neural networks is different than what we have done in our example, our approach is useful in order to understand the details and to go beyond the idea that neural networks are mysterious black boxes that magically solve problems.
In the next chapter, we will see how we can use pre-built machine learning models available in Azure, connecting them to Excel to solve the problems we have presented up to now.
