Machine Learning Biology Roots
Why we talk about neural networks in Computer Science?
Machine Learning is a growing and important field of computer science. Initially it was used for classification and regression, but now many use it as a tool for creativity, applied goals, and more. For this reason, it’s vital to understand the many algorithms that are actually used to train the networks to maximize a specific goal.
Neurons
Many of the artificial intelligence algorithms are modeled after biological and computational biology models. In biological models, neurons are made from DNA and each neuron has three inputs. At the same time, each neuron is connected to the other neurons through what is called an axon.
These connections are known as synaptic connections. Synapses create a neural network in the brain by creating loops. For example, a neuron connected to every other neuron will connect it to each neuron in the initial loop. Similarly, a neuron connected to a few other neurons in a loop will create a neuron that is the final connection.
