Create our own target function f and data set D and see how the perceptron learning algorithm works. Take d = 2 so you can visualize the problem, and choose a random line in the plane as your target function, where one side of the line maps to +1 and the other maps to -1. Choose the inputs x, of the data set as random points in the plane, and evaluate the target function on each xn to get the corresponding output yn Now, generate a data set of size 20. Try the perceptron learning algorithm on your data set and see how long it takes to converge and how well the final hypothesis g matches your target f.

why wouldnt you just google the words bud? not that hard to

no backup memory

there is no universally accepted definition of art. although commonly used to describe something of beauty, or a skill which produces an aesthetic result, there is no clear line in principle between (say) a unique piece of handmade sculpture, and a mass-produced but visually attractive item. we might say that art requires thought - some kind of creative impulse - but this raises more questions: for example, how much thought is required? if someone flings paint at a canvas, hoping by this action to create a work of art, does the result automatically constitute art?

c a goverment agency or homeowner