Face autoencoder
This is a deep learning auto encoder created in python using the Tensorflow and Keras libaraies.
The autoencoder read in 2000 pictures of faces to be trained an then tested on. Once trained, it was able to be given a new face and recreate it. This recreation was then evaluated for it’s accuracy which was then used to update the autoencoder’s neural network.
The output face the autoencoder produced have be put into a demo in unity as the faces of npc’s.
Demo video
This project was built alongside Plant Generator in DX11 and a Raytracer.
