So then, time for part 2 of Perceptrons :D
Here im going to give a few examples of the algorithm working, then its onto the next part :)
So then, time for part 2 of Perceptrons :D
Here im going to give a few examples of the algorithm working, then its onto the next part :)
Here we go… a Decision Boundary… again. Yes you may now kill me :)
Actually, this time it really isn't that bad, because a Perceptron literally IS a decision boundary. Lets take a look at a rounded decision boundary from KNN:
Okay, so as it turns out i forgot something… again! darn im getting good at this ¬.¬
On the post for K-Nearest Neighbour Part 2, I showed a Graph with a Decision Boundary. Well this is just one type of decision boundary. There are technically more but im going to show 3 of them here.
Lets take 2 example classes. Say we wanted to be able to recognise the difference between a Cat and a Dog, how would you do this?
Well, firstly we have to identify some features that can easily distinguish them both. Lets have a quick example of a cat and a dog – yeah, seriously :P
Cocoa is a framework of tools used for software development written in Objective-C, featuring modular, object-oriented and visual design. It was originally called NextSTEP and was developed by the company NeXT. When NeXT merged with Apple in 1996, the framework NextSTEP was renamed Cocoa. However, it still remains that all objects within this framework begin with the prefix "NS", which helps to distinguished them and prevent accident errors.
This summary is work-in-progress (which will be periodically updated) and may contain mistakes. Please let me know if there are any issues, or if anything needs clarifying.