Introduction to deep learning

The neurons in a human brain are analogously referred to as nodes in deep learning algorithms. Individual nodes may be thought of as computational units. Although they may stand alone, they are more powerful when connected to one another.

As a visual, here is the Boston Housing DataFrame from Chapter 11, Machine Learning. Each column in the following DataFrame can be represented as a node, as can each entry:

Figure 12.1 – Sample from the Boston Housing dataset

In linear regression, using the standard machine learning algorithm introduced in Chapter 11, Machine Learning, each column, or node, is multiplied by a constant, called a weight, and the individual weights are summed together to make a prediction, as in the following diagram:

Figure 12.2 – Linear regression diagram from Berkeley Coding Academy, created by the author Corey Wade

The process is linear because it uses the simple technique...