Talk:Perceptron: Difference between revisions
discussion of tasks
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--[[User:Tim-brown|Tim-brown]] ([[User talk:Tim-brown|talk]]) 16:59, 16 January 2017 (UTC)
== Tasks ==
Excellent: I was looking for some machine-learning style tasks, and found this one!
As it's still in draft, could I suggest some additional tasks to be done? I also suggest the image output be moved to 'extra credit': image output is difficult for languages without a natural gui library, and there also seem to be problems uploading images to the site, so results are hard to show. (Although I do like the Java version's dynamic graphical output.)
As a core set of tasks, how about simply showing the perceptron being trained and working:
# Create a set of training data of at least 5000 random points, classifying the points with a line of your choice.
# Train a perceptron from the training data.
# Show the final perceptron's weights
# Create a new test set of at least 1000 random points, and show the percentage correct achieved by the final perceptron.
As 'extra credit' tasks:
# Draw an image showing the target line and the decisions made by the perceptron on the test set.
# Show how performance on a fixed test set varies with an increasing range of training data, say 1000 to 20000 points in steps of 1000.
I shall add a Scheme example illustrating these core tasks and the second extra one.
-- [[User:Peter]] 17:15, 25 February 2017 (UTC)
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