With AI becoming more and more prevalent, I am hearing the term “neural networks” being thrown around. What are they and what function do they serve?
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Neural networks are what your brain is made up of. A network of neurons and synapses.
Artificial neural networks (or ANNs) is a machine learning technique that attempts to replicate the learning process of the brain.
We often learn from positive/negative reinforcement. Our choices result in physiological changes in our brain that remember when something is right/wrong.
ANNs work in a similar way, but just use numbers instead (often called weights/biases).
ANNs have an input and an expected output. When the actual output is much different from the expected output, this is similar to negative reinforcement.
Through a process called back propagation, the network is adjusted slightly in a way that is mathematically expected to reduce the error value.
This is done repeatedly in a “learning” process with a large number of inputs/outputs until the error slowly drops to near zero.
At this point, the network is “trained” to do whatever it’s intended function is.
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