A computing system loosely inspired by biological brains, consisting of interconnected nodes (neurons) organized in layers.
A computing system loosely inspired by biological brains, consisting of interconnected nodes (neurons) organized in layers. Each connection has a weight that's adjusted during training. Simple in concept but capable of learning incredibly complex patterns when scaled up. The foundation of modern AI.
A subset of machine learning that uses neural networks with many layers (hence 'deep') to learn complex patterns from large amounts of data.
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.
The research field focused on making sure AI systems do what humans actually want them to do.
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