We are given the following training examples in 2D((-3,5), +), ((-4, –2), +), ((2,1), -), ((4,3),–)Use +1 to map positive (+) examples and -1 to map negative (-) examples.We want to apply the learning algorithm for training a perceptron using the above data withstarting weights wo = w1 = w2 = 0 and learning rate 7 = 0.1. In each iteration process the trainingexamples in the order given above. Complete at most 3 iterations over the above training examples.What are the weights at the end of each iteration?Are these weights final?

The given training examples are .use +1 to map positive (+) examples and -1 to map negative (-)…

Answered: We are given the following training…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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