NN_WebApp_Visualizer

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

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

Steps to run:

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.

Look and Feel: