Neural Network | What is it?
Neural networks simulate the neurons within the brain using artificial neurons or nodes. It is used in machine learning to simulate the human brain making connections through trial and error rather than simple data sets.
It is basically a computer system that mimics the brain by classifying the information and detecting patterns using probabilities and if-then statements.
How Do They Work?
Neural networks base statements, predictions, decisions, and actions on a degree of likelihood created by recent patterns found within the experience.
In other words, the network makes an action, analyses the outcome, and determines if that was the right or wrong thing to do based on the data sets and the performed analysis. But the learning does not stop there.
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