In this article, an image classification task will be discussed:
Through the project, my team and I applied 3 models seeking the highest result accuracy. The models used are:
K-means clustering, Support Vector Machine (SVC), and Convolutional Neural Network (CNN). My teammates and I will break down a model each — this article will tackle upon core logic and processes behind the SVC model.
But first, let's briefly go over the task itself:
Our goal was to apply 3 different models over images from this dataset. The dataset contains about 32.000 pictures of various facial expressions sized in 48x48. …
Erasmus University Student