FPGA IMPLEMENTATIONS OF NEURAL NETWORKS

This introductory chapter reviews the basics of artificial-neural-network theory, discusses various aspects of the hardware implementation of neural networks (in both ASIC and FPGA technologies, with a focus on special features of artificial neural networks), and concludes with a brief note on performanceevaluation. Special points are the exploitation of the parallelism inherent in neural networks and the appropriate implementation of arithmetic functions, especially the sigmoid function. With respect to the sigmoid function, the chapter includes a significant contribution.

• Publication year

  2023

• Venue

  Universum:Technical sciences

• Publication date

  2023-02-27

• Fields of study

  Not labeled

• Identifiers
  DOI 10.32743/unitech.2023.107.2.14945
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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