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Problem 3 : ANN ( With / without hidden layers ) ( 4 0 points ) : 3 . 1 Perceptron Learning a . Construct

Problem 3: ANN (With/without hidden layers)(40 points):
3.1 Perceptron Learning
a. Construct by hand a Perceptron which correctly classifies the
following data; Make an informed guess for the values for the
weights w0,w1 and w2 to have the system work as in the table.
You may use the threshold activation (or step if you insist).
b. Apply the Perceptron Learning Algorithm on the above data.
Use a learning rate of 1.0. The initial weight values are
Clearly indicate the new weight values at the end of each
training step. You may stop after 3 Epochs if the system didn't
stop naturally yet.

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