Complete the Perl script in class for the Perceptron learning algorithm.
The input and output should be the same as for nearest means and
Naive-Bayes. 

Test your program with the input data

0 0
0 1
1 0
1 1
10 10
10 11
11 10
11 11

and labels 

0 0
0 1
0 2
0 3
1 4
1 5
1 6
1 7

Use eta=.001 and stopping condition of .001. 

Your final w would be close to

w = 0.0889184232356005 0.0907934047968894 

and distance of plane to origin would be about

abs(w0/||w||) = 7.09045903042441

If you change the stopping condition to 0, in other words 
full convergence, then your final w would be

w = 0.0995024069539168 0.0995025677420564 

and distance to origin 

abs(w0/||w||) = 7.77817457926694

Submit your assignment by copying it into the directory
/afs/cad/courses/ccs/f14/cs/675/001/<ucid>.
For example if your ucid is abc12 then copy your Perl script into 
/afs/cad/courses/ccs/f14/cs/675/001/abc12.

Submit a hardcopy in class as well.

Usman