Skip to content

Latest commit

 

History

History
5 lines (3 loc) · 479 Bytes

README.md

File metadata and controls

5 lines (3 loc) · 479 Bytes

finger-digits classification

This repository contains ipython notebooks which were used for classification of finger digits. The dataset contains hundreds of gray scale finger images which are represnting digits from 0 to 9. The Neural Net used in this notebook is MobileNet v3 which was obtained from the Tensorflow Hub. Worth to mention, we reached 100 accuracy in this project.

dataset