August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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How the Perceptron learns
The approach followed by Rosenblatt Perceptron model, which we have described so far in this chapter, is based on a simplified description of the neuron of the human brain. Just as the brain's neurons activate in the case of a positive signal, and remain inert otherwise, the Perceptron uses the threshold value via an activation function, which assigns a +1 value (in case of excitement of the Perceptron, which indicates the pre-established threshold value has been exceeded), or a -1 value (in other words, indicating a failure to exceed the threshold value).
Taking up the previous mathematical expression that determines the conditions of activation of the Perceptron:
We see that it is the product of the values (that ...
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