## Neural Networks bias Term

Activity 16. Neural Networks

In this activity, objects were classified using neural networks. Only two types and two features were used for this activity. The two types of bottle caps(Coke and Sprite) were used as samples to test the efficiency of neural networks as classifiers. The coke bottle caps were tagged with the value of 1 while the sprite bottle caps were given the value of 0. The training set used to train the neural network is given below. The first column is the area of the object while the second column is the color level of the object.

x=[0.929186603, 0.58557;
0.653588517, 0.147957;
0.908133971, 0.615335;
0.579904306, 0.145402;
0.655502392, 0.164236;
0.956937799, 0.630004;
0.902392344, 0.638101;
0.679425837, 0.14559;
0.650717703, 0.15673;
0.677511962, 0.140274;
0.968421053, 0.618755;
0.914832536, 0.635996;
0.742583732, 0.147524;
0.96937799, 0.62855;
0.923444976, 0.642857;
0.717703349, 0.135958;
0.800956938, 0.157814;
1, 0.613532;
0.983732057, 0.668547;
0.7215311, 0.137754;];

The first column was normalized in order for the maximum area calculated will be equal to 1. Using the provided source code(from Cole Fabros'

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