The coolest neural networks

Listen to this article

Neural networks are programs that learn from large amounts of data and use this information to solve various problems. Neural networks are used in various fields, such as medicine, finance, and transport.

I am pleased to introduce you to the in-demand AI projects that are helping you with developments in deep learning and neural networks. In this article, I will talk about 15 projects that will make you wonder and wonder what else neural networks can create. Read the article about the coolest neural networks to the end!

The content of the article:

• ChatGPT-3.5 – ChatGPT-4
• DALL-E2
• IMAGINE
• YOLO (You Only Look Once)
• Stable Diffusion
• midjourney
• Autodraw
• ThisPersonDoesNotExist
• Ostagram
• GauGAN
• balaboba
• colorize
• deep nostalgia
• Sketch Metademolab
• Riffusion
• Conclusion
• FAQ

ChatGPT-3.5 – ChatGPT-4

ChatGPT-3.5 and ChatGPT-4 are language models from OpenAI. Both models generate text that is similar to human speech. However, ChatGPT-4 is larger and more complex than ChatGPT-3.5. It contains over 13 billion parameters compared to 175 billion parameters for ChatGPT-3.5. This makes ChatGPT-4 powerful and able to generate accurate and varied responses. Moreover, ChatGPT-4 works with complex language constructs and contexts.

Pros:

• The models generate text that is similar to human speech.
• ChatGPT-4 is capable of generating accurate and varied responses.
• ChatGPT-4 works with complex language constructs and contexts.

Minuses:

• ChatGPT sometimes writes plausible but incorrect or nonsensical answers.

DALL-E2

DALL-E is a machine learning model from OpenAI that generates pictures from textual descriptions. The work of the neural network is based on the developments of OpenAI related to text generators. In 2019, the company created a model called GPT-2 that could predict the next word in a text.

DALL-E 2 is a new version of the DALL-E neural network, which was released in 2022. She can add objects to the interior or replace one part of it with another. Another feature is the creation of pictures similar to the original version.

Pros:

• Generation of photorealistic images due to the fact that it recognizes the context of the user's request.
• Can add objects to the interior or replace one part of it with another.

Minuses:

• inaccessibility to the audience.

IMAGINE

IMAGINE is a neural network developed by the Google Brain research project. It generates images by description. They trained her on the basis of 400 million ready-made pairs of images and text descriptions. According to the developers, Imagine works better than DALL·E 2.

Pros:

• Generation of photorealistic images due to the fact that it recognizes the context of the user's request.
• Works better than DALL·E 22.

Minuses:

• inaccessibility to the audience.

YOLO (You Only Look Once)

YOLO (You Only Look Once) is an approach to object detection in images. Unlike other methods that use classifiers to perform detection, YOLO treats the object detection problem as a regression problem for spatially separated bounding boxes and corresponding class probabilities.

One neural network predicts bounding boxes and class probabilities directly from full images in a single evaluation. Since the entire discovery system is a single network, it can be directly optimized for discovery performance. The only YOLO architecture is ultra-fast. The base YOLO model processes images in real time at 45 frames per second. A smaller version of the network, Fast YOLO, processes an amazing 155 frames per second and still achieves twice the accuracy of other real-time detectors.

Pros:

• The only YOLO architecture is ultra-fast. The base YOLO model processes images in real time at 45 frames per second.
• A smaller version of the network, Fast YOLO, processes an amazing 155 frames per second and still achieves twice the accuracy of other real-time detectors.
• YOLO learns from images and does not require prior selection of objects in the image.

Minuses:

• Not found.

Stable Diffusion

Stable Diffusion is an advanced neural network for generating images. The program from the Stability AI group went public in August 2022. The neural network generates images on a text request.

Pros:

• The Stable Diffusion neural network is different from such counterparts as DALL-E 2 or Midjourney open source.
• If you have the appropriate hardware, you can install the necessary software on your computer for free and use it to create images on a text request.

Minuses:

• Not found.

midjourney

midjourney is a neural network that generates images based on text queries. The neural network was created by scientist David Holz, who worked at the NASA research center and the Max Planck Institute. The neural network is available for free to everyone, but the number of generations is limited to 20 per day.

Pros:

• Midjourney creates images based on a text description.
• The neural network is available for free to everyone.

Minuses:

• Limited image generation.

Autodraw

AutodrawAutoDraw is a free web service from Google that uses machine learning to recognize patterns and prompts the user to replace them with professional ones. The service was created in 2017 and has since become popular among users.

Pros:

• The user draws something on the screen, and then the service will offer several options for professional drawings that can be selected and used.
• In addition, the service is useful for those who do not have drawing skills or do not have time to create professional drawings.

Minuses:

• The service cannot always correctly recognize the user's drawing and offer appropriate replacements.
• In addition, the service may be limited in the selection of available drawings.

All in all, AutoDraw is a useful tool for those who want to quickly create professional drawings without having to have drawing skills or spend a lot of time creating drawings.

ThisPersonDoesNotExist

ThisPersonDoesNotExist is a neural network created by Uber employee Philip Wang in 2019. The neural network generates realistic images of people who don't really exist. Each time the page is refreshed, a new image is generated.

Pros:

• The advantage of ThisPersonDoesNotExist is its ability to generate realistic images of people. This is useful for those who are engaged in design or development and need realistic images of people.
• In addition, the neural network can be used to create photographs of people as book or magazine covers.

Minuses:

• Some people use the neural network to create fake profiles on social networks or other places on the Internet.
• In addition, some people use the neural network to create photos of people without their consent.

ThisPersonDoesNotExist is an interesting project that is useful for anyone in design or development who needs realistic depictions of people.

Ostagram

Ostagram is a neural network-based service that combines photos and ornaments into artistic masterpieces. The service has a free and two paid versions (Premium and HD). In the free version, you can get a picture of 600 pixels, in Premium - 700, and in HD - 1200 pixels.

Pros:

• The main advantage of Ostagram is the ability to create artistic masterpieces. This is useful for those who are designing or developing and need unique images.
• In addition, the service is used to create original gifts or to decorate the interior.

Minuses:

• Some people use the service to create fake profiles on social media or other places on the internet.
• Also, some people may use the service to take photos of people without their consent.

Ostagram is a project that is useful for those who are engaged in design or development and need unique images.

GauGAN

GauGAN is a neural network developed by NVIDIA that generates photorealistic images based on a text description. More than 10 million pictures were used to train the tool. GauGAN uses a single "tree" class to represent both the trunk and leaves of a tree.

Pros:

• The advantage of GauGAN is the ability to create photorealistic images based on a textual description. This is useful for those who are designing or developing and need unique images.
• In addition, the service can be used to create original gifts or to decorate the interior.

Minuses:

• Some people may use the service to create fake profiles on social media or other places on the internet.
• Also, some people may use the service to take photos of people without their consent.

GauGAN is a project that can be useful for those who are designing or developing and need unique images.

balaboba

"Balaboba" is a neural network that functions on the basis of the YaLM family of neural networks as a generator of texts on any topic, preserving the style specified by the user.

Pros:

• With the help of "Balaboba" you can finish the story, come up with a caption or write a short story.
• The neural network did not study at writing courses, but composes texts in a few seconds no worse than living ones.

Minuses:

• The neural network does not know what it is saying and can say anything.
• When distributing the resulting texts, remember the responsibility.

colorize

colorize is a neural network that can colorize black and white photographs in realistic colors. The service was created by the Russian company G-Core Labs based on the open source DeOldify project.

Pros:

• To get the finished image, you need to upload a black and white illustration and wait a few seconds.

Minuses:

• It should be noted that the service is conditionally free.
• There are 50 photos available in the free version, if you need more, you can purchase a paid account with a limit of ten thousand images.

deep nostalgia

Deep Nostalgia is a neural network that “revives” photo portraits. The service was created by the family social network MyHeritage and allows you to add facial expressions, blinking and head movement to static photos.

It should be noted that the service is conditionally free. There are 5 photos available in the free version, if you need more, you can purchase a paid account.

Pros:

• Ease of operation;
• No PC requirements;
• The processing process takes a couple of seconds.

Minuses:

• The final image is always no larger than 1024 pixels.

Sketch Metademolab

"Sketch Metademolab" is a neural network from Meta that brings children's drawings to life. With it, you can bring your children's drawings to life.

Pros:

• Ease of operation;
• You can bring your children's drawings to life.

Minuses:

• Not detected.

Riffusion

Riffusion is a neural network that generates music based on text prompts or descriptions. It creates visual representations of sound in the form of sonograms or audio spectrograms and then converts them to audio for playback. The neural network is based on a machine learning technique called diffusion, which is used in other well-known models such as DALL-E 2 and Stable Diffusion.

Pros:

• Free access to all Riffusion features.
• Generation of music by text description.
• Create longer audio files.

Minuses:

• Not suitable for beginners without programming skills.
• There are computer requirements.

Conclusion

I hope you found this article about “the most popular neural networks” useful and entertaining. Throughout the article, we reviewed 15 neural network projects that demonstrate the amazing capabilities of neural networks in the field of image generation, object recognition, and data processing.

Neural networks have become a part of our lives and affect various aspects of our being. They help us develop new technologies, improve the quality of life, solve complex problems, and even create art.

However, despite all the advances in the field of neural networks, they are still under development, and we expect more amazing projects and technologies in the near future. I hope that you will continue to be interested in the topic of the neural network and follow the development of artificial intelligence. Thank you for your attention!

FAQ

Q: What is ChatGPT-3.5?

GPT-3.5 is a language model from OpenAI. GPT is an acronym for Generative Pre-trained Transformer, a deep learning technology that uses artificial neural networks to write text that looks like human speech.

Q: What is ChatGPT-4?

GPT-4 is a new language model created by OpenAI that can generate text similar to human speech. It promotes the technology used by ChatGPT and is based on GPT-3.5.

Q: What is DALL-E 2?

DALL-E 2 is an extension of the DALL-E model and is an artificial intelligence system that can create realistic images and art from a natural language description.

Q: What is IMAGINE?

IMAGINE is a system for generating images based on text descriptions.

Q: What is YOLO (You Only Look Once)?

YOLO (You Only Look Once) is a popular object detection and image segmentation model.

Q: What is Stable Diffusion?

Stable Diffusion is an image generation model based on textual descriptions.

Q: What is Midjourney?

Midjourney is a system for generating images based on text descriptions.

Q: What is Autodraw?

A: Autodraw is an artificial intelligence system that can turn drawings into better images.

Q: What is ThisPersonDoesNotExist?

ThisPersonDoesNotExist is a site that uses a neural network to generate realistic photos of people.

Q: What is Ostagram?

Ostagram is a service that uses a neural network to create collages from two images.

Q: What is GauGAN?

A: GauGAN is an artificial intelligence that turns rough sketches into realistic images.

Q: What is Balaboba?

A: Balaboba is an artificial intelligence that creates texts based on user-specified parameters.

Q: What is colorization?

A: Colorize is an artificial intelligence that colorizes black and white photos.

Q: What is Deep Nostalgia?

Deep Nostalgia is a service that uses a neural network to create animated photos.

Q: What is Sketch Metademolab?

A: Sketch Metademolab is an artificial intelligence that turns drawings into photorealistic images.

Q: What is Riffusion?

Riffusion is an image generation system based on text descriptions.

Reading this article:

• Convolutional Neural Networks
• Graph neural networks: what are they and how do they work?

Thanks for reading: ✔️ SEO HELPER | NICOLA.TOP