Introduction
Let's try to recognize the handwritten digits online with our single hidden layer Fully Connected Neural Network (aka. FCNet), which is powered by the MNIST dataset π.
Playground
It will be nice if you can play with the project. Below are some basic guidelines for you to have a good start!
Training & Evaluating
You can run run_Train_Model.py and run_Evaluate_Model.py to train and evaluate the model respectively.
The Network architecture
Currently, we use a single hidden layer Fully Connected Network and make it be trained with MNIST dataset. Feel free to rdesign your own network architecture and replace the file FCNet.py in the server/Training folder.
Play with the utilities
We prepared some helpful tools for you in the server/toos. You can do some work for the MNIST dataset with the help of these tools.
License
This project is open source under the MIT license.