Respuesta :

dogacandu

Answer:

The back propagation algorithm causes the network to settle into a stable state where it can correctly respond, to any desired degree of accuracy, to all inputs in the training set.

Explanation:

Back propagation algorithm is a part of the learning of a neural network. In a simple neural network setting at each iteration;

  • The network assumes random weights  at each network layer and passes the value to the next trough an activation function.
  • Then a loss function is calculated by comparing the distace of the final value with the label value using a predetermined distance metric.
  • The weights are optimized trough back propagation

Thus, back propagation algorithm used to reach the final weights of the neural network, so that it can work more accurately.

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