A peek into how Neural Networks classify images from the MNIST dataset.

MNIST is the de facto "Hello World" of image processing.

1. Run the Learner's Notebook(ipynb file) which will create the files necessary for visualization of a neural ntwork.
2. Train the model by running python train_model.py. 20 epochs, takes about 5 minutes on a CPU with average processing power.
3. model.h5 is created.
4. Run the ml_server by executing python ml_server.py.
5. With the flask server running, execute the virtual environment(Visualize) and start streamlit server using run streamlit run app.py.