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An Introduction to Neural Networks

In: Neural Networks and Deep Learning

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  • Charu Aggarwal

    (International Business Machines, IBM T. J. Watson Research Center)

Abstract

Artificial neural networks are popular machine learning techniques that simulate the mechanism of learning in biological organisms. The human nervous system contains cells, which are referred to as neurons. The neurons are connected to one another with the use of axons and dendrites, and the connecting regions between axons and dendrites are referred to as synapses. These connections are illustrated in Figure 1.1(a). The strengths of synaptic connections often change in response to external stimuli. This change is how learning takes place in living organisms. Figure. 1.1 The synaptic connections between neurons. The image in (a) is from “The Brain: Understanding Neurobiology Through the Study of Addiction [621].” Copyright Ⓒ2000 by BSCS & Videodiscovery. All rights reserved. Used with permission.

Suggested Citation

  • Charu Aggarwal, 2023. "An Introduction to Neural Networks," Springer Books, in: Neural Networks and Deep Learning, edition 2, chapter 0, pages 1-27, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-29642-0_1
    DOI: 10.1007/978-3-031-29642-0_1
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