A Study on Object Classification Using Deep Convolutional Neural Networks and Comparison with Shallow Networks

The aim of this work is to solve object classification problem using Neural Networks. Two types of neural networks are used and compared, namely, classical Feed Forward Neural Networks and Deep Convolutional Networks. Success of the designed networks is investigated using CIFAR-10 dataset.