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Meaning of neural network
A neural network is a series of algorithms that seek to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
Etymology of neural network
The term "neural network" originated in the 1940s, when researchers such as Warren McCulloch and Walter Pitts began developing mathematical models of the human brain.
The term "neural" refers to the brain's neurons, which are specialized cells that process and transmit information.
The term "network" refers to the interconnected structure of these neurons, which work together to perform complex tasks.
Synonyms
Definitions
- A neural network is a computer system inspired by the structure and function of the human brain, composed of layers of interconnected nodes or neurons that process and transmit information.
- It is a machine learning model that is trained on data to perform a specific task, such as image recognition, natural language processing, or decision-making.
- Neural networks can be used for both supervised and unsupervised learning tasks, and can be applied to a wide range of fields, including computer vision, robotics, and finance.
Usage Examples
- The company is using a neural network to develop a self-driving car that can recognize and respond to its surroundings.
- Researchers are training a neural network to analyze medical images and diagnose diseases more accurately.
- The virtual assistant uses a neural network to understand and respond to voice commands.