09. Perceptron Trick

Perceptron Trick

In the last section you used your logic and your mathematical knowledge to create perceptrons for some of the most common logical operators. In real life, though, we can't be building these perceptrons ourselves. The idea is that we give them the result, and they build themselves. For this, here's a pretty neat trick that will help us.

Perceptron Algorithm

Does the misclassified point want the line to be closer or farther?
SOLUTION: Closer

DL 10 S Perceptron Algorithm

Time for some math!

Now that we've learned that the points that are misclassified, want the line to move closer to them, let's do some math. The following video shows a mathematical trick that modifies the equation of the line, so that it comes closer to a particular point.

07 Perceptron Algorithm Trick

QUESTION:

For the second example, where the line is described by 3x1+ 4x2 - 10 = 0, if the learning rate was set to 0.1, how many times would you have to apply the perceptron trick to move the line to a position where the blue point, at (1, 1), is correctly classified?

SOLUTION:

NOTE: The solutions are expressed in RegEx pattern. Udacity uses these patterns to check the given answer

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