Neural network

From WikiMD.org
Jump to navigation Jump to search

Neural Network

A Neural Network (pronounced: /ˈnʊərəl ˈnɛtwɜːrk/) is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.

Etymology

The term "Neural Network" was inspired by the functioning of the human brain and its biological neural networks. The word "neural" is derived from the Latin word "neuralis," which means "pertaining to the nerves," while "network" comes from the Old English "netweorc," which refers to any interconnected system or structure.

Related Terms

  • Artificial Intelligence: The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
  • Machine Learning: A type of artificial intelligence that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.
  • Deep Learning: A subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled.
  • Algorithm: A process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
  • Data: Facts and statistics collected together for reference or analysis.

See Also

External links

Esculaap.svg

This WikiMD article is a stub. You can help make it a full article.


Languages: - East Asian 中文, 日本, 한국어, South Asian हिन्दी, Urdu, বাংলা, తెలుగు, தமிழ், ಕನ್ನಡ,
Southeast Asian Indonesian, Vietnamese, Thai, မြန်မာဘာသာ, European español, Deutsch, français, русский, português do Brasil, Italian, polski