While some are only arguing about the fundamental possibility of the emergence of artificial intelligence, others are already actively using its functions. Computers successfully implement neural networks that work on a principle similar to the human brain. This opens up wide opportunities – algorithms have learned to think out what a person does not see. And new applications are constantly being found for neural networks.
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In one case, the program creates a symphony, in the other it draws a high-quality portrait. The ability of neural networks to process photographs is widely known. It was these algorithms that made FaceApp famous. It instantly became popular on Google Play and the App Store. It turned out to be possible programmatically to age a face, which takes only a couple of seconds for a computer (or mobile device). The function is interesting, but nothing prevents you from finding another use for it. For example, why not see what a person’s face would look like in Disney cartoons?
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How to create a portrait in the style of Disney animation?
In fact, the results of such an algorithm are even more impressive than the work of FaceApp. The developers were able to create a neural network that, based on a photograph of any person, makes him a cartoon portrait in Disney style.
If you have an idea of Disney cartoons, then you probably know that, despite all the differences in characters, they all have a “corporate” style and facial features. It was they who became the very recognizable handwriting that immediately distinguishes Disney cartoons from among others.
And creating your own Disney copy is actually very simple. You need to go to the page with the neural network and press the key Browse upload your photo. For results just click “Toonify!”… Its name sounds like a spell. And the miracle will really happen.
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Neural networks for photos
But why did people even start using neural networks for such purposes? In fact, clever algorithms are relatively easy to teach about photography. Neural networks can provide a huge amount of data, which is already in the public domain. As a result, the developers achieve excellent results in processing photos and creating copies based on them in the desired style. The computer neatly changes the facial features of a person, his hairstyle, but in general leaves the image as similar as possible to the original.
The capabilities of neural networks are surprising today, and even more impressive results are expected in the next few years. So, the Canadians have already created a speech synthesizer based on artificial intelligence that can copy any voice. While neural networks are still part of the entertainment industry, some are clearly capable of solving serious problems. It is to be expected that such technologies over time will be able to significantly change the world we are used to today.