Skip to content

Implementation of a neural network trained on the MNIST handwritten digits dataset.

License

nitodeco/mnist-net

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MNIST-Net

Implementation of a neural network trained on the MNIST handwritten digits dataset. I used this as an excercise to apply my theoretical knowledge about neural networks and machine learning and experiment with realistic data. This project is built with PyTorch.

Usage

  1. Create and activate your python environment
  2. Install dependencies
pip3 install -r requirements.txt
  1. Download the dataset
python3 ./core/dataset.py
  1. Start the app
streamlit run app.py

Now you can visit the app at http://localhost:8501 and start training, evaluating and testing the model.

About

Implementation of a neural network trained on the MNIST handwritten digits dataset.

Topics

Resources

License

Stars

Watchers

Forks

Languages