Neural Networks
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Univer Publishing
Abstract
Description
This article considers the classification of neural networks according to the types of tasks being solved, the types of neurons, the structure of neurons, and the methods of training neurons. Artificial intelligence and artificial neural networks are becoming more and more popular. In this article, we will look at the main types of neural networks and talk about how they work and where they are used. An understanding is given of what the concept of neural networks entails, how neural networks develop in terms of their real performance.
Keywords
artificial neural network, fully connected neural networks, partially connected neural networks, monotonic neural networks, networks without feedback, neural networks with feedback, single-layer and multi-layer neural networks, homogeneous and heterogeneous neural networks, activation function of neurons, methods for learning neural networks networks