Neural Networks Evolution by Thomas Mark
English | 2022 | ISBN: N/A | ASIN: B0BBBPN3MJ | 420 pages | EPUB | 2.08 Mb
English | 2022 | ISBN: N/A | ASIN: B0BBBPN3MJ | 420 pages | EPUB | 2.08 Mb
Over time, to the present day, humanity has done a lot to adapt itself and adapt the world around us. Many scientific discoveries and engineering inventions were made, on the basis of which entire industries were created (engineering, energy, digital technologies, etc.), which greatly facilitated people's lives.
But moving forward, the issue of effective management of the created economy is becoming more and more urgent. Today, in order for humanity to have enough resources to master the new and develop what has already been created, new technologies are required that could cope with the task more efficiently, greatly facilitating and even replacing the work of people.
One of these technologies is called upon to be the technology of artificial neural networks, the idea of which is to model the work of the human neural system as closely as possible, to learn and correct errors just as effectively. We can say that the main feature of ANN is the ability to learn independently and acting on the basis of previous experience, each time making fewer mistakes.
As an example of the use of ANNs, we can cite the field of security video surveillance - where a system of artificial neural networks recognizes the presence of people in inappropriate areas, forgotten things, identifying a person's identity by face, fingerprints, etc. Well, I think everyone has heard about the autopilot in a car, today they are already roaming the open spaces of roads in different countries, albeit for now as an experiment, but this is already a reality! Of course, this is not all that artificial neural networks are limited to. Their possibilities are truly endless. Many technology experts call ANN technology one of the key technologies of the future.
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