Neural networks are a class of machine learning models that are inspired by the structure and functions of the human brain. They consist of interconnected nodes called neurons, which work together to process and analyze complex patterns in data. Neural networks have found applications in various fields, including image and speech recognition, natural language processing, and decision-making systems.
Q:What is the purpose of the input layer in a neural network?
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Q:What does the activation function do in a neural network?
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Q:What is the purpose of the output layer in a neural network?
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Q:What is the role of the hidden layers in a neural network?
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Q:Which of the following is an advantage of using neural networks?