BYU

Abstract by Jacob Harris

Personal Infomation


Presenter's Name

Jacob Harris

Degree Level

Undergraduate

Abstract Infomation


Department

Computer Science

Faculty Advisor

Mark Clement

Title

Comparison of CNN Models in Handwriting Recognition

Abstract

The pursuit of accurate handwriting recognition using machine learning and convolutional neural networks has been a recent objective that has yielded promising results over the past decade. Numerous neural networks have been created, trained, and have produced highly accurate results. Here the effectiveness of current CNNs are examined and different models compared.