The process of identifying and pulling out the most important characteristics from raw data.
The process of identifying and pulling out the most important characteristics from raw data. In classic ML, engineers did this manually. Deep learning models learn to extract features automatically — early layers might detect edges in images, while deeper layers recognize faces or objects.
The idea that useful AI comes from learning good internal representations of data.
A dense numerical representation of data (words, images, etc.
A subset of machine learning that uses neural networks with many layers (hence 'deep') to learn complex patterns from large amounts of data.
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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