This project is focused on classifying handwritten digits using a dense neural network built with TensorFlow and Keras. The model is trained and evaluated on the MNIST dataset, which is a benchmark ...
This project implements a handwritten digit recognition system using the MNIST dataset and an optimized K-Nearest Neighbors (KNN) algorithm. The goal of the project is to: Achieve high classification ...
Abstract: There are a lot of works on English handwritten materials but not seen so much work on Bangla handwritten recognition. Bangla handwritten digits have more complex and diverse shapes and also ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback