Top 10 Neural Networks for All Occasions

Over the last year, neural network technology has made a real breakthrough. Robots are singing, dancing, streaming on Twitch, writing and instantly illustrating books, and automating office work. Many companies have started to implement the technology into their workflow. We decided to compile ten neural networks for you that can help in various situations and make life easier.

However, first, you need to learn how to use them. The learning process is not much different from learning Photoshop or any other program: you need to understand what the neural network can do, how to properly set tasks for it, and how different parameters affect the outcome.

There's nothing impossible about this, and you can get pretty good results in just an hour or two. Some neural networks just need to be installed and set up once, and then you can enjoy the results. Fortunately, the developers of most neural networks do not require any specific knowledge from the user and try to package the neural networks in interfaces familiar to us.

Yes, indeed to all. Though, it tends to dodge some questions, citing moral standards and restrictions. Especially, the neural network excels at creativity — writing stories and poems.

[ChatGPT](https://vgtim.es/bY2CnVh) is capable of generating articles, editing texts, answering various questions, teaching the basics of sciences, and instantly providing information on a multitude of topics. It handles most tasks as well as a human would. Enthusiasts even had it take a microbiology exam. Operating the neural network is as simple as it gets — ask a question and receive an answer.

However, sometimes the neural network makes things up. For example, it might respond to the request make me a list of books that will turn me into a web developer with a beautiful and convincing list of non-existent publications and authors. Therefore, one should be careful with the generated text and perform manual verification.

Another very useful neural network is Stable Diffusion. It can generate images upon request, add new details to existing pictures or remove old ones, stylize images. In fact, due to its popularity and open source, it's hard to even list all the possibilities of SD.

Users have created numerous plugins, the more advanced ones (like ControlNet) even allow you to choose the pose of the generated character or use a depth map to create a photo of a building or a flower bed in the shape of a text.

Stable Diffusion is trainable. By feeding it a batch of images, you can teach it to create an object based on a specific command-request. Large design studios are gradually starting to integrate it into their workflow, training it in their proprietary styles and using the neural network to create concept art. This saves time and resources.

In general, there are many such pictorial neural networks on the internet. For example, following the success of the movie Barbie, the neural network BaiRBIE.me went viral, allowing you to get your plastic look in seconds.

Seeing the popularity of neural networks and, perhaps, fearing competition, Adobe also entered the arms race and released the tool Generative Fill in the beta version of Photoshop 2023.

It works very simply — you select an area on the photo and write a request in the text box that appears. You can ask the neural network to remove or add an object, erase a watermark, stylize a photo. Especially, cleaners — people who clean comics and manga from old inscriptions, sounds, and other elements in foreign languages — were delighted with the new tool.

If you need to cut out a background or object, remove skin defects, or somehow edit an image in another way — generative fill will handle most tasks in seconds.

Upscalers are a category of programs that enhance image quality in various ways: increasing resolution, removing defects and artifacts. It's on upscalers that most image-based neural networks operate — first, the program generates an image size of 512x512, and then the neural network enlarges it by two or even four times.

But upscalers on their own can be very helpful in certain situations: fixing an old photo, improving the quality of a needed image or simply making it larger so that blurriness doesn't stand out in large collages and projects.

Waifu2x is one of such neural networks that will come to the rescue if you need a beautiful and high-quality picture from a blurry source.

Topaz Video AI operates on the same principle as Waifu2x, but with video. You can refresh your family videos from the 2000s, enhance the quality of old game gameplay, get an old movie in good quality, or improve the recording quality if someone didn't manage the shooting well.

The program is capable of enhancing quality up to 4K and works best with cartoons, but it also manages quite well with regular footage. However, the process is not fast — depending on the level of the video card, a two-hour movie can be processed for hours and even days.

Another neural network capable of breathing life into family albums and revitalizing the analog legacy. Colorize.cc allows you to colorize black and white photos, making them colorful.

On the creator's website, you can find several examples of the neural network's work, and it really looks magical.

With GauGAN, you can make literally a couple of strokes, and the program, trained on millions of images, will try to understand you and turn your paint-masterpiece into a photorealistic image.

You can use the result for illustrating your books, presentations, articles, and videos.

A useful but quite specialized neural network. With NVIDIA Eye Contact, you can always look into the camera. Now, you cannot be reproached for not paying attention to the speaker, and remote exams will be easier. Or, at least, you can peek at the text while recording a video for YouTube.

However, some users feel anxious looking at the result of the neural network's work — it focuses on the camera too quickly.

A problem familiar to any content creator on major platforms, especially on YouTube — choosing suitable compositions for a talkative video. Copyright is a rather complicated issue, and you never know when a rights holder might decide to strike your video.

Mubert solves this problem by simply creating music from scratch. All you need to do is describe the desired melody in words and set the duration. Done!

The Krisp neural network has been used by many gamers for quite some time. In one of the Discord updates, it was integrated into the program. The neural network, like its counterpart, RTX Voice, excellently handles the removal of noises and extraneous sounds in real-time.

Some enthusiasts conducted tests, turning on a vacuum cleaner right next to the microphone. The human voice, albeit with some traces of processing, remained perfectly distinguishable, while the background noise did not.

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We hope you've found a neural network that suits you in study, creativity, or work and saves you time and effort. Maybe you're already using some neural networks? Tell us in the comments.