Skip to content

swapnita-pandey/Handwritten-Digit-Classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 

Repository files navigation

Handwritten-Digit-Classification

Developed an artificial neural network classifier for recognition of handwritten digits which was trained and tested using MNIST dataset giving 98% accuracy.

Technologies Used:

Python, CNN, numpy, matplotlib, keras, random, requests, cv2, OpenCV