Basics of neural networks

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The basic building blocks of neural networks are neurons and the connections between them. Neurons process information, and connections between neurons transmit signals.
Input data is passed through layers of neurons, each of which processes the information before passing the result on.
Neural networks learn from data examples, adjusting their connections to minimize the error between predicted and actual results.
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