The project is broken into three parts, each part run individually.
- GAN: Follow the Baseline Gan letter generator code jupyter notebook or run the notebook step-by-step
 - Siamese Network: Follow the Siamese network jupyter notebook
 - Convolutional GAN: Refer to the README within the CNN_GAN folder
 
Content of other folders:
generated_images: GAN and CNN_GAN generated images, alongside the original EMNIST wordssiamese: forgery data for the Siamese modelletter_recognition: deprecated, not usedscribe: examples generated from Graves' LSTM implementation