Activity 17 – Neural Networks

In this activity, we were given the task to classify objects using neural network. As an overview, a neural network is a computational model of how neurons work in the brain and this model can also be used to other networks.

Figure 1 shows the training subjects used. These objects were taken from Activity 15 but there is an additional object used. These training subjects act as the combination of networks and place each class their corresponding number by applying neural network model.

Figure 1. Training subjects

Figure 2 shows the test subjects to be classified if they correspond to their real class.

Figure 2. Test subjects

Figure 3 shows the result of classifying each class from Figure 2. The number 1 corresponds that the test subject is correlated to its corresponding training subject. Another trial was done using different sequence shown in Figure 4. It is seen that the corresponding class does not give the real class of the subject.

Figure 3. Result with the same order as the training subject

Figure 4. Another result with different order of test subjects

I am giving myself a grade of 10. I would like to thank TJ Abregana for helping me do the past 3 activities. Thank you for you time in reading this blog.