Project Overview
This is a Machine Learning project using Deep Neural Networks (DNNs) and Convolutional Neural Networks (CNNs) with TensorFlow and Keras, and more specifically, it is about a classification problem in regard to the recognition and prediction of the Kannada hand-written digits.
The dataset used is an alternative one with reference to the popular MNIST digits database, and the project was constructed in the context of a kaggle class competition (module CS985 Machine Learning) at Strathclyde University (academic year 2019-20).
A range of deep neural network architectures and techniques are applied with the final goal of finding the optimal model for the hand-written digits' predictions.