Learning with multiple stages of representation, typically implemented by a neural network. Depth, connectivity, objective, training experience and parameter sharing are distinct design choices; a deep architecture need not be convolutional or supervised.

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Deep learning by Ciro Santilli 40 Updated 2025-07-16
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Deep learning is the name artificial neural networks basically converged to in the 2010s/2020s.
It is a bit of an unfortunate as it suggests something like "deep understanding" and even reminds one of AGI, which it almost certainly will not attain on its own. But at least it sounds good.
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