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Neural networks simulate the way the human brain processes information from "summary" of Artificial Intelligence by Melanie Mitchell
Neural networks have gained popularity in the field of artificial intelligence due to their ability to model complex patterns and relationships in data. These networks are composed of interconnected nodes, inspired by the structure of the human brain. Each node in a neural network receives input, processes it, and then passes the output to other nodes. By adjusting the connections between nodes, neural networks can learn to perform tasks such as image recognition, speech synthesis, and language translation. The concept of neural networks simulating the way the human brain processes information is based on the idea that the brain's neurons communicate with each other through electrical and chemical signals. Similarly, in a neural network, information is transmitted between nodes through weighted connections. These weights determine the strength of the connections and are adjusted during the learning process to improve the network's performance. One key feature of neural networks is their ability to learn from data. Through a process called training, neural networks analyze examples to identify patterns and make predictions. This learning process is often iterative, with the network adjusting its p...
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