MNIST Digit Recognition

Simple Practical Implementation of ANN to recognise Handwritten Digits using MNIST Dataset. A mini-application is created using PyQT5 to showcase the digit recognition by letting users draw a digit.

Implementation

Extract the zip file inside the data folder such that the file structure will be

MNIST-digit
│   app.py
│   mnist_model.h5
│   MNIST_notebook.ipynb
│   README.md
│   requirements.txt
└───data
│       train_test_data.zip
│       mnist_train.csv
│       mnist_test.csv
     

Install Necessary libraries

pip install -r requirements.text

Screenshots

Conclusion

Despite ANN being powerful enough to detect complex patterns. CNNs are more preferable in case of image and audio classification.

MNIST Implementation using CNN on the way ;)