What is a neural network? A neural network is a method in artificial
intelligence that teaches computers to process data in a way that is
inspired by the human brain. It is a type of machine learning process,
called deep learning, that uses interconnected nodes or neurons in a
layered structure that resembles the human brain. It creates an adaptive
system that computers use to learn from their mistakes and improve
continuously. Thus, artificial neural networks attempt to solve
complicated problems, like summarizing documents or recognizing faces,
with greater accuracy. Why are neural networks important? Neural networks
can help computers make intelligent decisions with limited human
assistance. This is because they can learn and model the relationships
between input and output data that are nonlinear and complex. For
instance, they can do the following tasks.