it seems like it was always there but the face first appeared in 2018 only
two years ago since then it has evolved in a way nobody could ever imagine as you can see
you can easily make a video look real where a person isn't even there the reality is that
you can't believe what you see anymore and deep fakes have a big role in this in fact the deep
fake technology makes it possible to literally put words in the mouth of anyone while also creating
a fake video of the person saying it it is both an awesome new technology and a dangerous tool
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a deep fake is a synthetic media in which the identity of a person
in an image or video is replaced with someone else either their voice their face or even both
deep fakes uses machine learning algorithms to manipulate or generate the visual and or audio
content of such videos with the goal of imitating someone else's voice and or face with the progress
of gpus over the last few years researchers were able to develop deep learning techniques
making these applications possible such as auto encoders and gans which i already covered in
previous videos if you are interested in learning more about those machine learning frameworks
now you may wonder how do they work well the answer isn't that simple deep fake applications
work in many various ways just like in this video some try to map the face of a target person
like putting the face of elon musk onto a target video of a baby playing around
another possibility is to transfer the facial movements of an actor to a target video
such as alexander emini a phd student at mit made introducing his course on deep learning
using former us president barack obama so many fields from robotics to medicine and everything
like most recent ai based applications it uses deep neural network architectures in order to
achieve this as i said it uses auto encoders merge with gans which is especially good for
computer vision applications like this one it consists of an encoder which reduces an image to
a lower dimensional latent space and a decoder which reconstructs the image from the latent
representation the encoder is used to encode the person we want to imitate into the latent space
this latent space then contains the key features of their facial features and body posture in order
to reproduce his facial and body movements then a model trained specifically for the target video
is used to decode this latent space this means that the target's detailed information
will be superimposed on the underlying facial and body features of the original video
represented in the latent space previously encoded cans can be merged with such auto encoders in
order to improve the results of this algorithm it makes the deep fake constantly evolve and improve
realistically fortunately for us there are many online tools available to produce deep fakes
there is deepface lab that is completely free with the code publicly available and
many resources available to train your own deep fake on your images and videos you can do many
things using their code such as replacing a face from a picture or video replace the whole head
and even manipulate the voice of a specific person check out their github for more information
everything is clearly explained and you can even run the code directly on google collab if you
don't have the computation power to train such a big network on your own computer they even shared
a complete video tutorial to help you create your own deep face of course every resource cited here
is completely free you should definitely give it a shot if deep fakes interest you
as i said this is both an awesome and dangerous new technology please do not abuse this technology
and stay ethically correct the goal here is to improve this technology and not to use it for the
wrong reasons plus there are many techniques to detect deep fakes which will be the subject of a
whole other video please leave a like if you went this far in the video and since there are over 90
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any further news clearly explained if you would like to start or improve with machine learning
i've linked all the best online courses in a reporter in the description thank you for watching
you