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Neuron Network Learning


If the configuration of the weights of a neuron seems simple, the configuration of a network of neurons is more delicate. With a great number of neurons and layers, the problem is very complex. The solution consists in carrying out a learning with samples.

Two approaches are generally used: supervised learning and unsupervised learning.




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