MNIST Handwritten Digit Recognition using Deep Learning
Python TensorFlow Keras Accuracy Status
Project Overview
This project implements a state-of-the-art handwritten digit recognition system using Convolutional Neural Networks (CNN). By leveraging deep learning techniques and the famous MNIST dataset, we develop a high-performance model that accurately classifies handwritten digits with 99.20% accuracy, demonstrating advanced computer vision capabilities for real-world applications.