Artificial Neural Network (ANN or NN) is a type of machine learning based on the idea that a computer is doing self-research, analyzes the information, learns from it and makes decisions just like humans do. It does not require programming to learn explicitly - just like the brain, neutral networks learn on their own!
Face recognition is a great example of where machine learning is applied to train neural networks to browse through many people, identify a specific person, learn his/her facial expressions, and sometimes even their mood
CNN is used to categorize and perceive speech, faces on pictures, and different objects, like for example a car model, type of technology, brand, etc.
GAN is used to help produce media content such as music, video, and pictures. Its commonly used in the default settings of photo editing, when the computer automatically suggests how to improve the appearance settings
Based on different criteria, neural networks are able to create images that don’t exist, such as game characters, cartoons, etc.
Neural networks are also used to generate unique high quality content on any given subject
Neutral networks are used to recognize objects from images, photos, and videos. It can be applied to many areas, from marketing to medicine (visual search, maps, drones, etc.)
Used to make forecasts about the future of stocks based on previously available data
Used to simplify operations and develop new techniques
Used to create new medicine and predict possible biological properties of different chemical compounds
Used to manage movable equipment such as aircrafts, drones, electric heaters, etc.
Used to bring probable statistical modeling to life