Neural networks are used in deep learning algorithms from "summary" of Data Science For Dummies by Lillian Pierson
Neural networks are an essential component of deep learning algorithms. They are designed to mimic the way the human brain processes information. Just as the brain is made up of interconnected neurons, neural networks are made up of interconnected nodes that work together to solve complex problems. Each node in a neural network receives input, processes it, and then passes the output to the next layer of nodes. This process continues until the desired output is achieved. By adjusting the connections between nodes, neural networks can learn to recognize patterns, make predictions, and even generate new data. Deep learning algorithms leverage neural networks with multiple layers to extract high-level features from raw data. Each layer in the network extracts different features, building upon the previous layers to create a more sophi...
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