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[Music] in this video well discuss what fine-tuning is and how we can take advantage of it when building and training our own artificial neural networks fine tuning is very closely linked with the term transfer learning transfer learning occurs when we use knowledge that was gained from solving one problem and then apply it to a new but related problem for example knowledge gained from learning to recognize cars could potentially be applied in a problem of recognizing trucks fine tuning is a way of applying or utilizing transfer learning specifically fine tuning is a process that takes a model thats already been trained for a given task and then tuning or tweaking that model to make it perform a second similar task assuming the original task is similar to the new task using an artificial neural network thats already been designed and trained allows us to take advantage of what the model has already learned without having to develop it from scratch when building a model from scratch
