MLP

MLP for image classification implementation for the course of Machine Learning at AUEB. Datasets used:

1. CIFAR-10
2. MNIST

Built With

• Numpy
• Matplotlib
• Pandas

Usage

1. Download the datasets linked above. For CIFAR-10 you should download the python version.
2. Drop the dataset folders (mnistdata, cifar-10-batches-py) inside the project folder, it should look something like this:
   • mnistdata folder
   • cifar-10-batches-py folder
   • MLP notebook
3. Open the MLP.ipynb notebook using Jupyter Notebook or any IDE with the Jupyter Notebook Extension.
4. Run all the function definition cells.
5. Run ONE of the 2 load data cells and then run all the other cells.
   • NOTE: Skip the last cell if you don't wish to run the gradCheck (since it takes a while ~ 10 minutes).
6. You're all set!

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Licence

MIT