Overview / Usage

This project is based on the online Dataset - 'Mnist Dataset' consisting of 10,000 images of Alphabets/Letters on which Image classification has been applied to recognize the letters. This project has been developed so as to solve the problem of letter recognition by several mobile applications already in production with the accuracy of the model being 97.68% without overfitting and underfitting of data.

Methodology / Approach

I have developed this model using Artificial Neural Networks (deep learning methodology). Python Frameworks have been used to develope the model using several packages like Numpy, Tensorflow ,etc..

Technologies Used

The programming language used is Python. Framework being Keras used on Tensorflow . Latest versions of tools and frameworks would be the best compatible to run the model.

Repository

https://github.com/neeraj-j-sharma/Mnist

Other links

• Github Link to the Project (https://github.com/neeraj-j-sharma/Mnist)