Machine Learning

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  • #5401 Reply
    George Harris
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    What is Back Propagation in Machine Learning?

    #5411 Reply
    Mark Hall
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    Back Propagation is mainly a concept in neural networks that enables networks to change their incognito layers of networks in various situations where the result does not match the creator’s hope. Moreover, back propagation is mainly an algorithm that is used to get the outcome of various derivatives quickly. ANN generally uses back propagation as the knowing algorithm for computing any slope with respect to various weights. The algorithm has this kind of name because the different weights are gradually updated in the opposite direction, from the output to the input.

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