3. Networks

From a single neuron to a neural network

Obviously, a single neuron is not yet a neural network. In this chapter, we will therefore explore step by step how neurons are connected to each other and how exactly the data flows through such a network from input to output. Again, we will first look at a single neuron with two inputs and one output. In the next step, the network consists of a total of four neurons located in two so-called layers. This example is then extended by adding a second neuron in the output layer. To make the presentation of the calculations a little more interesting, each network can be trained with different pre-built data sets. Finally, we will design our own neural network and send values of our own choice through the network.