Machine Learning with Swift

Building the neuron

Considering that a biological neuron has an astonishingly complex structure (see Figure 8.1), how do we approach modeling it in our programs? Actually, most of this complexity is, so to say, at the hardware level. We can abstract it out and think of the neuron as a node in a graph, which takes one or more inputs and produces some output (sometimes called activation).

Wait, but doesn't that sound like something familiar? Yes, you are right: an artificial neuron is just a mathematical function.

The most common way to model the neuron is by using the weighted sum of inputs with the non-linearity function f:

Where w is a weights ...