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About Artificial Neural Networks
Artificial neural networks (ANNs) are inspired by biological neural systems. ANNs consist of interconnected nodes that mimic neurons in the brain. ANNs learn by considering examples, detecting patterns in data, and adjusting the connections between nodes. Common ANN architectures include perceptrons, Hopfield networks, and multi-layer perceptrons. Perceptrons are single-layer feedforward neural networks that can learn to classify linearly separable patterns.
Detailed Information
Author: | ['Pranzal Sharma'] |
---|---|
Publication Year: | 2022 |
Pages: | 82 |
Language: | English |
Format: | |
Price: | FREE |
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