Neural Networks

Definition of Neural Networks as it relates to Technology, Machine Learning, Hardware

Neural Networks, a fundamental component of artificial intelligence, are algorithms designed to recognize patterns and learn from input data. They're inspired by the human brain's structure and function, comprising interconnected layers of nodes or "neurons." In the context of Hardware, Neural Networks refer to the physical components that execute these algorithms, including specialized chips and hardware accelerators. These enable faster, more energy-efficient processing for machine learning tasks compared to traditional CPUs and GPUs. They're integral to edge computing devices and data centers, driving advancements in fields like autonomous vehicles, natural language processing, and predictive analytics.

Note
  • [DeepNeuralNetworks.net]
  • [bionn.matinf.uj.edu.pl] Bio-inspired artificial neural networks
  • [snufa.net] SNUFA | Spiking Neural networks as Universal Function Approximators
  • [holger-arndt.com] Holger Arndt | Big Data Analytics, Machine Learning, Neural Networks
  • [rnns.net] RNNS — Official site of Russian Neural Network Society
  • [nnql.org] NNQL Neural Network Query Language
  • [pfr.com] Parallax Financial Research – Neural Network Solutions for Professional Money Managers
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