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by Ciro Santilli (@cirosantilli, 37)

Training and inference

 ... Area of technology Information technology Computer Machine learning Supervised and unsupervised learning Supervised learning
 0 By others on same topic  0 Discussions  Updated 2025-05-29  +Created 1970-01-01  See my version
This is the first thing you have to know about supervised learning:
  • training is when you learn model parameters from input. This literally means learning the best value we can for a bunch of number input numbers of the model. This can easily be on the hundreds of thousands.
  • inference is when we take a trained model (i.e. with the parameters determined), and apply it to new inputs
Both of those already have hardware acceleration available as of the 2010s.
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    • Inference (ML) Training and inference
    • Training (ML) Training and inference

Inference (ML)

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Training and inference

Training (ML)

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Training and inference

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  • Trained artificial neural network

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