MNIST Handwritten Digit Classification is a classic and foundational problem in the field of machine learning and computer vision. The goal is to develop a model that can accurately identify and ...
Handwritten Digit Classification using CNN The core idea of this project is the basic implementation of Convolutional Neural Networks using Keras and training it to predict the input (handwritten ...