Artificial Neural Networks mimic functions of the human brain to transmit and process information,
and are considered as one of the best machine learning techniques
What are neural networks
Artificial neural networks, a technique for implementing Machine Learning, were inspired by the model of a human’s brain that remains the most efficient and flexible (read: ideal) information processing device in the world. Neural networks technique that mimics the functions of neurons (understanding, cognition and perception) is currently considered as the best approach for solving computer vision tasks, speech recognition and generation, pattern recognition, music composition, medical image analysis, diagnoses and outcome predictions etc.
Machine learning, a subfield of Artificial Intelligence, is a method of «training» an algorithm so that it can learn how to perform tasks that it has never solved before. The key principle of machine learning is: the more data the system has, the better it will be able to learn and function. The system is first «fed» with a massive amount of data and afterwards learns how to accomplish goals (e.g. distinguish between objects) and improve upon the process. Services developed by Kuznech are based specifically on the neural networks method.
How we apply neural networks
Kuznech Visual Search & Recognition Technology was created by a team of devoted and persistent scientists, machine engineers, and developers. We pulled only the best from world-class scientific research on deep learning performed over the last two decades, synthesized that knowledge with the research we have constantly ongoing, and created a system that successfully handles a wide range of visual search and object recognition tasks.
on neural networks methods
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