Digit Recognition using Convolutional Neural Network (CNN) | MNIST Dataset

In this video, we are going to see how to recognize digits using the Kaggle dataset (MNIST) with the help of Convolutional Neural Networks (CNN). A convolutional neural network, or CNN, is a deep learning neural network sketched for processing structured arrays of data such as portrayals. The video includes the creation of a simple CNN Model using the Sequential model. This project helps us to understand importing datasets, data preprocessing, training datasets for machine learning models, model building, deep learning, CNN models, dense layer, Dropout layer, visualizing the model and then compiling the model. The layers included in this model are - 1) Conv2D 2) MaxPooling 3) Dense 4) Dropout 5) Flatten 

Read an article on Handwritten digit recognition using neural network: https://www.geeksforgeeks.org/handwritten-digit-recognition-using-neural-network/