NEURAL NETWORK Meaning and
Definition
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A neural network refers to a computational system or model that replicates the functionality and structure of biological neural networks, found in the human brain or the nervous system of animals. It is a subset of machine learning and artificial intelligence that aims to enable computers to learn and process information in a manner similar to the human brain.
A neural network is composed of interconnected artificial neurons or nodes, organized in layers. These nodes receive input signals, process them using mathematical operations, and produce an output. The nodes' connections, or weights, contain information on the importance or strength of a given node's contribution.
During training, a neural network learns by adjusting the weights of its connections based on input data and the desired output. The network identifies patterns and relationships in the data, enabling it to recognize and classify new, unseen data accurately.
Neural networks find applications in various fields, including image and speech recognition, natural language processing, recommendation systems, and predictive analysis. Their ability to analyze complex and large datasets makes them particularly useful. The layered architecture, with an input layer, hidden layers, and an output layer, allows for hierarchical feature extraction and abstraction, leading to higher accuracy and problem-solving capabilities. However, neural networks require substantial computational power and extensive training data to deliver optimal performance.
Common Misspellings for NEURAL NETWORK
- beural network
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Etymology of NEURAL NETWORK
The term "neural network" has its origins in the field of neuroscience, specifically in the study of the brain's structure and functionality.
The word "neural" is derived from the Greek word "neuron", which means "nerve cell". It refers to the fundamental units of the nervous system responsible for transmitting information.
The term "network" refers to a structure composed of interconnected components. In the context of the brain, the interconnected network of neurons forms the basis for information processing and transmission.
When applied to artificial intelligence and machine learning, the term "neural network" signifies a computational model inspired by the biological neural networks found in the brain. It consists of a system of interconnected nodes, or "artificial neurons", which simulate the behavior of real neurons and allow for the learning and processing of complex information.
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