Neural Networks

Definition of Neural Networks as it relates to Technology, Artificial Intelligence, Artificial Neural Networks, Unsupervised Learning, Supervised Learning

Neural Networks, as part of Supervised Learning within Artificial Intelligence, are a type of Artificial Neural Network designed to learn and make predictions based on labeled data. These networks are composed of interconnected nodes, or "neurons," arranged in layers, with each layer processing and passing information to the next. The learning process involves adjusting the weights of these connections based on the difference between the network's predictions and the actual labels, enabling the network to improve its performance over time. Neural Networks are widely used in various applications within Technology, including image and speech recognition, natural language processing, and predictive modeling.

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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