AI Terms
Definition: A neural network is a computational model inspired by the structure and function of the human brain.
Detailed Description:
Neural networks are composed of interconnected nodes called neurons, which process and transmit information. They are organized into layers, including input, hidden, and output layers. Neural networks learn by adjusting the weights and biases of the connections between neurons through a process called backpropagation.
Neural networks have been successfully applied to a wide range of tasks, including:
Related Terms:
FAQs:
What is the difference between a neural network and a traditional computer program?
How do neural networks learn?
What are some challenges in training neural networks?
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