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Learning AI/ML


Model is a neural network function.

Models alone aren't good enough, they need to be trained and importantly you need the "weights" in order to have a ready to use model like the resnet18 model that "comes with" FastAI.

Fine tuning is taking a trained model and training it further on your data.

Learner is model + training data

Weights are parameters (hmm followup on this)

  • It used to be Input > Program > Output
  • Now its Input + Weights > Model > Output
  • With a training loop is Input + Weights + "Loss" from previous training > Model > Output + Loss (now do it all again N times to solve any computable function!)