This project builds a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset, which contains 28x28 grayscale images of digits (0-9). The goal is to achieve 99% ...

Project Overview This project implements a handwritten digit recognition system using the MNIST dataset. It uses a CNN model to achieve high accuracy in recognizing digits from 0-9. The application ...

In the digital age, handwritten digit recognition plays a crucial role in various automation systems, ranging from simple form data automation to complex security systems. Deep learning, particularly ...

The capability of ML (Machine Learning) algorithms to recognize images of handwritten numerals is known as HDR (Handwritten Digit Recognition). Because handwritten numerals are imperfect and can be ...