An Interpretation of Neural Network
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Neural Network is a computing device that updates its parameters ( or computational steps) according to the mistakes it made. In other words, the algorithm can learn from mistakes and improve its computational accuracy.
A good AI algorithm must receive a reward ( feedback ) from its decision making and evolve. The reward can be achieved by giving artificial labeling of the training materials or through a fixed set of rules to decide this labeling.
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