Artificial Neural Network

What is Neural Network? Definition

Artificial Neural network is a system of individual processing units (Neurons) connected usually in a structured manner. It is designed to mimic operation and model the way human brain solves problems. Each individual neural unit has a function which processes the values of all its inputs. The organization and weights of connections determine the output of the model.

Neural networks are adaptive, which means they modify themselves as they learn from initial training data set. The learning model is centered on weighting the input streams, which is how each node weights the importance of input from each of its predecessors. Inputs that contribute to getting right answers are weighted higher.

Like other machine learning methods – systems that learn from data – neural networks have been used to solve a wide variety of tasks, like computer vision and speech recognition, that are hard to solve using ordinary rule-based programming.

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