The cinema industry, which started with the invention of the camera, has changed and developed in line with technological developments. Today, technology has reached the dimensions where artificial neural networks and computer systems that imitate the functions of the human brain are used. This system, which is based on the imitation of the brain, which is defined as deep learning, has been discussed in the context of the cinema industry in this study, and has been tested in practice using the computer-assisted Deepfacelab application. With the Deepfacelab application, the character who lost his life from the actors of the 2008 film The Dark Knight was exchanged with the main character of the 2019 film Joker, and the processes were discussed within the scope of this study. The implementation phase consists of nine (9) stages. Selection of the video, taking the facial character and head movements from the source video, deleting the inappropriate ones, creating the contour lines of the head movements, training (learning), repetitions, matching and fine-tuning, combining the two images are the stages of the Deepfacelab application. In this study, a face swap was made between the actors with a computer-aided program, the perception that the deceased character was alive was created based on his past videos, and it was shown that he could continue his existence in the cinema industry. With the application, attention was drawn to the concept of deep learning, and the technology level was conveyed through the cinema sector. As a result, it has been revealed that the image, speech and facial expressions of a dead artist, politician, loved one can be perceived as real with a computer-aided program with deep learning. In this context, this study is important in terms of the concept of deep learning, deep learning / technology relationship, and the use of deep learning in cinema.
Keywords: Cinema, Deep Learning, Deepfacelab