In the previous section, you saw the general flow of when we perform data analysis with machine learning. In this section, theories and algorithms of neural networks, one of the methods of machine learning, are introduced as a preparation toward deep learning.
Although we simply say "neural networks", their history is long. The first published algorithm of neural networks was called perceptron, and the paper released in 1957 by Frank Rosenblatt was named The Perceptron: A Perceiving and Recognizing Automaton (Project Para). From then on, many methods were researched, developed, and released, and now neural networks are one of the elements of deep learning. Although we simply say "neural networks," there are various types and we'll look at the representative methods in order now.
