Paper implementation of deep learning through a Deep Convolutional Generative Adversarial Network for image generation: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Trained and implemented on the LFW Dataset, a dataset containing hundreds of thousands of celebrity faces, the agent will then recreate fake pictures similar to the real photographs.

Results of the image generation. (Top: Fake results; compared to Bottom: Real results.)

Network Architecture (Racford, Alec et al.)