March 2nd Week Updates

Also, with our code, there is the implementation of the support vector machine. In this form of machine learning, SVMs have an associated learning module, which allows them to analyze and classify data based on their new knowledge. In our scenario, we will be teaching the machine how to distinguish the categories or stages of the illness. By giving the SVM a set of training examples, we can eventually teach it to distinguish between the categories of symptoms. To do so, we must provide a large enough sample size of tranjning images. These will include hundreds of sub-images taken from the original retinal images.