- AI for Everyone course
- Practical Deep Learning for Coders and the Jupyter notebook based book
- FastAPI Docker example
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!)