  Deep learning has been successfully appertained to solve various complex
problems in the area of big data analytics to computer vision. A deep
learning-powered application recently emerged is Deep Fake. It helps to create
fake images and videos that human cannot distinguish them from the real ones
and are recent off-shelf manipulation technique that allows swapping two
identities in a single video. Technology is a controversial technology with
many wide-reaching issues impacting society. So, to counter this emerging
problem, we introduce a dataset of 140k real and fake faces which contain 70k
real faces from the Flickr dataset collected by Nvidia, as well as 70k fake
faces sampled from 1 million fake faces generated by style GAN. We will train
our model in the dataset so that our model can identify real or fake faces.
