MINST_Project

Project Description

It is a dataset of handwritten numbers from 0 to 9. MNIST has a training set of 60,000 examples, and a test set of 10,000 examples. It can be downloaded from: http://yann.lecun.com/exdb/mnist/ K Nearest Neighbors (KNN) is a classifier that finds the class of the test sample based on the distance of it from the training samples. It finds the K training samples with smallest distance to the test sample. The dominant class in the K points is then selected as the test point class.

Collaborators

• Roaa Fathi

• Selsabeel Asim

• Basma Mahmoud

• Howida Adel Abd El-Halim