For education purposes only. The model is the simple 2-hidden layer neural network, created using vectorized numpy network implementation MLP MNIST.
Live demo located here.
- Python 3.>
- Flask
- OpenCV
- Numpy
To install required libraries, use commands below:
pip install flask
pip install opencv-python
pip install numpy
Clone repository, go to the specified folder and run
python application.py
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
Open your browser and access the address http://127.0.0.1:5000/ .
If you want to try another MLP architecture, edit train.py and run
python train.py
- Signature pad (https://github.com/szimek/signature_pad).
- MNIST pad (https://github.com/brloureiro/mnist-pad)
If you have any further questions or suggestions, please, do not hesitate to contact by email at a.sadenov@gmail.com.