CuPy GPU-Powered Neural Network Performance Analyzer

This neural network uses your GPU to train on the MNIST dataset and learn to recognize images of hand-written digits.

If you don't have a GPU or don't have CuPy installed on your system, the program will use NumPy instead. The training will run much slower, but it will achieve the same results.

Email john@discefasciendo.com with questions.

Video Demo in my AI Finance series

Enjoy!

Contents

• Prerequisites
• Installation
• Usage
• Authors
• Contributing
• Acknowledgments
• License

Prerequisites

• Python
• NumPy
• CuPy (if you want to use your GPU)
• Requests (unless you already have the csv files: train & test)
• Matplotlib
  
  

Installation

git clone https://github.com/chivington/Neural-Network-Performance-Analyzer.git

Usage

From the program folder, just run:

python mnist-nn.py

...and follow the prompts.

For more details, see the Video Demo

Feel free to ask me questions on GitHub or at john@discefasciendo.com

Authors

• Johnathan Chivington: GitHub, YouTube

Contributing

Not currently accepting outside contributors, but feel free to use as you wish.

License

There is no license associated with this content.