We build a simple image classifier trained on cifar-3 dataset. Two approaches have been explored: 1.)Fully Connected Neural Network based classification (Multi Layer Perceptron) 2.)Combined Convolutional Neural Networks and feed forward neural networks
The CNN based network outperformed the MLP and achieved a better accuracy on the test set.