A subset of machine learning that uses neural networks with many layers (hence 'deep') to learn complex patterns from large amounts of data.
A subset of machine learning that uses neural networks with many layers (hence 'deep') to learn complex patterns from large amounts of data. Powers most modern AI breakthroughs including language models, image generators, and game-playing AI. Requires significant compute but achieves remarkable results.
A computing system loosely inspired by biological brains, consisting of interconnected nodes (neurons) organized in layers.
A branch of AI where systems learn patterns from data instead of following explicitly programmed rules.
The algorithm that makes neural network training possible.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
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