About this document

Handwritten Digit Recognition with ML & DL by davidnwachukwum is a document available to read on EtoBox.

This project investigates the effectiveness of machine learning and deep learning techniques for recognizing handwritten digits using the MNIST dataset. It compares traditional models like K-Nearest Neighbors and Logistic Regression with a Convolutional Neural Network, demonstrating that CNNs achieve over 98% accuracy. The study also includes recommendations for future improvements and real-world applications of the developed models.

Author

davidnwachukwum

Language

EN