The first, called a generator, is given random noise to turn into an image. A GAN is where two AI algorithms go against each other. There is another way to create a deepfake and that is by using a GAN (generative adversarial network).

For a very convincing deepfake, this process is done on each frame. The decoder will then reconstruct the face of person B with the orientation of face A along with its expressions. For instance, you would take the compressed image of person A and feed it into the decoder that is trained on person B. To complete the face swap, you would simply put the encoded images into the wrong decoder. With the faces being different, you train the decoder for one face, then use another decoder for the other face. While the encoder does this, it also compresses the images.ДЄ decoder, a second AI algorithm, is then used and is taught to go through the compressed images to recover the faces. What this encoder does is find and learns similarities between faces, then reducing them to shared common features. Once you have your collected images of the two people, the face shots need to be run through an encoder, which is an AI algorithm. It has been said that as few as 300 images could be used to make a good deepfake. This could be the trickiest part, finding the proper number of images of each. This leg work is all about collecting enough images of your face swapping targets. A little leg work is necessary if you want a a convincing deepfake. Expertise is not only needed to create the face swap of the deepfake but also any touch up needed on the completed video to reduce flicker or any other visual defects.ДЄs for those few steps. Using the cloud reduces processing time from days and possibly weeks to hours. Even better would be to use the computer power in the cloud. Most of the extremely realistic looking deepfakes have been created on high-end desktops that use very powerful graphic cards. If you want a good deepfake, a standard computer most likely wonвЂ™t cut it. There are a few steps you would need to take to make a deepfake video. Internet can technically produce deepfake content.вЂќ Of California, Los Angeles, вЂњanybody who has a computer and access to the Villasenor, who is a professor of electrical engineering at the University The technology needed to pull off a good deepfake is already Now you only need to have a decent working knowledge of a computer and a decent enough computer to make it happen. No longer must one have intimate knowledge of artificial intelligence concepts or techniques. In the few years since вЂњdeepfakesвЂќ began his seedy career, technology has advanced ten-fold. It became such a hit that more and more people began to post similar videos on Reddit until it became too much and those users were banned. The user would take the faces of famous people and transpose them onto the bodies of the actors in adult movies. This whole concept of Deepfake started in 2017 by a Reddit user (actually named вЂњdeepfakesвЂќ) who began to produce sleazy videos of celebrities engaged in various pornographic adventures. It is a subset of machine learning which can imitate how the brain processesДata and creates patterns for use in decision making. Deep learning, by itself, is an artificial intelligenceДЇunction. The name вЂњdeepfakeвЂќ comes from a combination of the terms вЂњ deep learningвЂќДЄnd вЂњfakeвЂќ. On the surface this may sound like a fun thing (and some truly are) the reality Replaced by another personвЂ™s likeness and typically another famous person. This media will contain a person, usually famous, and they are DEEPFAKE DEFINITIONSДЄ Deepfake is false media.

Even those in Hollywood had a difficult time trying to make this happen. While it was easy to do on a still picture, it was a different story for videos. When computer programs such as Photoshop were built, even amateur photographers could get into the act, adding people to pictures, removing people from pictures, adding this or that, subtracting this or that. As technology got better, this ability became easier and easier. Since the 19 th century, photographers have had the ability to play around with a picture to create the optic they wanted. Our ability to manipulate photos has been around for quite some time. Manipulate video in ways that may be undetectable in the near future. Technology continues to advance at its rapid pace, so will our ability to Trouble down the road? Ding, ding, ding! What you just saw was called a Deepfake and as

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