What is a neural network?
A neural network is a computational model inspired by the way human brains work, used for machine learning tasks.
How does a neural network learn?
Neural networks learn through a process called training, where they adjust their weights based on input data and feedback.
What are some common applications of neural networks?
Common applications include image recognition, natural language processing, and autonomous driving.
Can you explain the difference between a neural network and a traditional algorithm?
Unlike traditional algorithms that follow explicit rules, neural networks learn patterns from data, making them more flexible.
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