Neural networks are machine learning models that are inspired by the human brain. They consist of neural processing units they are interconnected with one another in a hierarchical fashion. These neural processing units are called artificial neurons, and they perform the same function as axons in a human brain. In a human brain, dendrites receive input from neighboring neurons, and attenuate or magnify the input before transmitting it on to the soma of the neuron. In the soma of the neuron, these modified signals are added together and passed on to the axon of the neuron. If the input to the axon is over a specified threshold, then the signal is passed on to the dendrites of the neighboring neurons.
An artificial neuron loosely ...
