Mastering Machine Learning with R, Third edition by Cory Lesmeister

Author:Cory Lesmeister
Language: eng
Format: epub
Tags: COM018000 - COMPUTERS / Data Processing, COM037000 - COMPUTERS / Machine Theory, COM031000 - COMPUTERS / Information Theory
Publisher: Packt
Published: 2019-01-31T11:07:20+00:00

But wait, there's more! To complete the cycle or epoch, as it is known, backpropagation happens and trains the model based on what was learned. To initiate backpropagation, an error is determined based on a loss function such as sum of squared error or cross-entropy, among others. As the weights, W1 and W2, were set to some initial random values between [-1, 1], the initial error may be high. Working backward, the weights are changed to minimize the error in the loss function. The following diagram portrays the backpropagation portion:

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