Can you explain how a neural network works?
Sure! A neural network is a series of algorithms that mimic the operations of a human brain to recognize relationships in data.
What are the main components of a neural network?
The main components include neurons, layers (input, hidden, output), and weights that adjust as learning occurs.
How do neural networks learn from data?
They learn through a process called training, where they adjust weights based on the error of their predictions using backpropagation.
Can you give me an example of a neural network application?
Absolutely! Neural networks are widely used in image recognition, natural language processing, and even in self-driving cars.
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