Assalamualaikum and Hello!
For this semester, I took 13 credits subjects and 3 of them contributed by Artificial Intelligence (AI) subject. There's a lot of reasons why I took AI but one of them is because we have the same acronym (Aisyah Idris) :p
So for this subject, one of the group assignment which consists of 4 persons (me, Hafiza, Nab, KB) is to build an artificial neural network (ANN) to classify data given. ANN is the term used to describe a computer model assumption of the biological brain. Basically it is a system that handles many input signals, processes them, and output them to solve a task that it has been trained to solve. Some of the application by ANN are plant optimization, handwriting recognition and wood recognition.
For this project, we have to train an ANN to perform classification from 0 to 9 of the data set given. Fundamentally, there is a total of 60000 data which consists of images of number 0, 1, 2, .... until 9. In every image, there are 28 x 28 pixels (black and white) in it. Each pixel value ranges from 0 to 255, where a pixel value of 0 represents white pixel colour, and a pixel value of 255 represents black pixel colour. Pixel values between 0 and 255 represent different shades of grey pixel colour.
For this project, we use Matlab as our tool to build ANN. As all of us only know the basic coding for Matlab, it took us a week to discover the solution for our problem. Alhamdulillah, last week, we managed to present to our lecturer, Dr. Kumar about our project successfully.