Overview of Neural Networks

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Maad M. Mijwel
Adam Esen
Aysar Shamil

Abstract

Since it was confirmed and verified that the human nervous system consists of individual cells, which were later called neurons, and it was discovered that these cells connect with each other to form an extensive communication network, a large number of possibilities have been opened for application in multiple disciplines in areas of knowledge. Neural Networks are created to perform tasks such as pattern recognition, classification, regression, and many other functions that serve humans and are an essential component in the field of machine learning and artificial intelligence. In computer science, progress has been made, and computers are supposed to learn how to solve problems like that of the human brain. Through pre-established examples, the computer must be able to provide solutions to issues that are like those presented during training. This article overviews neural networks and their application in developing computer systems.

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How to Cite
Mijwel, M. M., Esen, A., & Shamil, A. (2023). Overview of Neural Networks. Babylonian Journal of Machine Learning, 2023, 42–45. https://doi.org/10.58496/BJML/2023/008
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