Implementing handwritten digit recognition on the MNIST dataset using a feedfoward neural network.

Tested on Python 3.7.

1. Create a virtual environment venv in the current working directory using python3 -m venv venv.
2. Activate the virtual environment through source venv/bin/activate.
3. Install the dependencies from requirements.txt using pip install -r requirements.txt.

python3 predict.py -e 30 -l 32 16 -t 20

Sets up a neural network with hidden layers of [32, 16]. Trains using 30 epochs. Runs through 20 validation cases after training.

The eBook on Neural Networks and Deep Learning helped guide me through building and understanding the concepts of how a neural network functions.