Multi-Layer-Perceptron-MNIST-with-PyTorch

This repository is MLP implementation of classifier on MNIST dataset with PyTorch. In this notebook, we will train an MLP to classify images from the MNIST database hand-written digit database.

The process will be broken down into the following steps:

1. Load and visualize the data
2. Define a neural network
3. Train the model
4. Evaluate the performance of our trained model on a test dataset!

Getting Started

To use this repo just download the repository, open in jupyter notebook. Start creating something awesome! Good Luck!

Prerequisites

Things reuired

1. Python3
2. Jupyter Notebook
3. Matplotlib
4. Pandas
5. Other dependencies

Contributing

Feel free to submit pull requests to me.

Authors

• Muhammad Haseeb
• Udacity Pytorch Scholarship Challenge Team

License

This project is licensed under the MIT License - see the LICENSE file for details