The Arabic Letter dataset (with 16,800 32x32 RGB images) was used in this research project. The dataset was separated into training set (13,440 images) and testing set (3,360 images). Three machine learning algorithms, namely Support Vector Machine (SVM), Logistic Regression and Convolutional Neural Network (CNN) were trained on the data. Linear, radial basis function (RBF) and sigmoid function kernel were used when training the data with SVMs, with the penalty parameter,
This code accompanies the research paper:
Machine Learning Final Project
Henrikas Krukauskas, Almadi Shiryayev
New York University, 2022.