AN UNBIASED VIEW OF DEEP LEARNING AI

The weights and inputs are multiplied and return an output between 0 and 1. Should the network did not properly understand a certain sample, an algorithm would adjust the weights.[one hundred forty four] This way the algorithm can make specific parameters additional influential, until it decides the right mathematical manipulation to totally proced

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