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Understanding Artificial Neural Networks by JOY is a document available to read on EtoBox.
Artificial neural networks (ANNs) are computing systems inspired by biological neural networks. ANNs learn from examples to perform tasks such as classification and prediction. They consist of interconnected processing units (neurons) that work together to solve problems. While ANNs can theoretically compute any function, they are especially useful for problems involving noisy, partial, or complex data. ANNs are studied by computer scientists, statisticians, engineers, cognitive scientists, neurophysiologis
- Author
- JOY
- Language
- EN