The power of a neural network stems from the individual power of each neuron.
This is how the human brain functions: each neuron performs its own simple calculation, and the network formed by all of the neurons multiplies the potential of these calculations.
The neural networks used in artificial intelligence are built on the same principle, but with one exception: the connections between the neurons can be adjusted in order to perform a given task.
This technology is particularly useful in predictive analysis, image recognition and speech processing.
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