Face and Digit Classification

This project implements a three-layer neural network from scratch in NumPy to classify handwritten digits and facial images using ASCII-based datasets. It also includes functionality to evaluate the performance of the network on varying amounts of training data.

Setup Instructions

1. Clone the repository or download the project folder.

2. Navigate to the project directory:

   cd FaceAndDigitClassification
   

3. (Optional but recommended) Create a virtual environment:

4. Install pytorch