Implementation of Convolutional Neural Network Using Keras

In this article, we will see the implementation of Convolutional Neural Network (CNN) using Keras on MNIST data set and then we will compare the results with the regular neural network. It is highly recommended to first read the post "Convolutional Neural Network -- In a Nutshell" before moving on to CNN implementation to develop intuition about CNN. The MNIST dataset is most commonly used for the study of image classification. The MNIST database contains images of handwritten digits from 0 to 9 by American Census Bureau employees and American high school students. It is divided into 60,000 training images and 10,000 testing images.